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Created an Analytics Training Program With the aim of improving companys Data culture and competence. | 5Analytics Engineer
| other |
Built a segmentation model using Python and ML libraries (scikit-learn) based on inactive customers’ historical behavior that enabled management to design data-driven marketing strategies and generate differential communications for each segment defined. | 1Data Analyst
| numpy, google cloud storage, r, pandas, postgresql, aws sns, javascript, terraform, azure, pyspark, apache hadoop, python, docker, github, gcp, matplotlib, amazon redshift, aws rds, airflow visualization, plotly, statistics, aws, aws ecr, amazon rds, mongodb, dynamodb data, aws redshift, aws glue, scikit-learn, apache airflow, flask, aws s3, dash, github actions, hadoop, aws lambda |
Gathered business needs and transformed raw data using Snowflake to enable dashboarding and analytics for business and analytics teams. | 0Data Engineer
| apache spark, databases, spark, looker, python, git, github, gcp, data modeling, aws athena, aws emr, spark streaming, snowflake, aws glue, apache airflow, planning, scala, sql, visualization, metabase, aws lambda, go, postgresql, pyspark, aws ecs, fivetran, decision making, apache zeppelin, mysql, aws rds, golang, aws, databricks, dbt, aws sqs, airflow, aws s3, data, pytest |
Implemented data modeling techniques to optimize database performance and improve query efficiency. | 0Data Engineer
| other |
Developed an API and a web application using Ruby on Rails and ReactJS, working alongside an international team of developers and product managers to help them achieve new features and improve current web application used by large multinational companies that rely every day on the platform of a global security company. | 4Software Engineer
| redux, databases, dataflow, semanticui, sass, postgresql, css, javascript, contentstack, contenful, flow type, less, microsoft office, git, netlify, vercel, react native, mysql, linux, aws, solidity, html, node.js, wordpress, typescript, mongodb, expo, reactjs, d3.js, ruby on rails, sql, data, visualization, sinatra, ruby, php, react |
Led a team of seven to define the architecture and implement a full-stack talent acquisition platform using AWS tools and NLP Techniques such as, sentence similarity matching, text classification, sentence embedding and Transformer based models. | 3Machine Learning Engineer
| hyperopt, pytorch, kafka, c#, javascript, eafit university, digital library., muñoz, s3 and airflow to collect job postings from websites and public apis, js, deep learning specialization, aws athena, aws emr, a training platform for computer vision models., aws redshift data, jm., universidad eafit jun 2018, regularization and optimization, bsc, neo4j, tensorflow, dr., developed an identity fraud detection model for a fintech company with, postgresql, aurora, docker, patiño, vue, aws ecs, direct scalar field - to - truss representation and stress simulation of open pore domains., fastapi, hugging, reinforcement learning, developed job crawler using python, scikit-learn, github actions, hyperparameter tuning, gcp ml tools, apache spark, apache kafka, neo4j graphdb, spark, improving deep neural, implemented machine learning algorithms to predict energy consumption in manufacturing plants. worked with university of illinois urbana-champaign manufacturing research group., prediction and control with function approximation, gutiérrez, python, github, hyperopt for hyperparameter optimization and mlflow for experiment tracking. research assistant, time series, design of linkages assisted by reinforcement learning methods., mongodb, tensorflowjs, apache airflow, artificial intelligence, mechanical engineering, cm., aws api gateway, integrated multiple modules developed by other teams to enhance the recommender algorithm., mlflow, aws lambda, aws ec2, aws fargate, go, xgboost, r, video games developer dec 2017, micromaster in artificial intelligence, nlp, developed an iot platform for industrial machinery integrating iot tools, c., aws aurora, velásquez, ros, mysql, self-driving car nanodegree, valencia, education, aws, c, neural networks and deep learning, sagemaker, medea interactiva, airflow, vue js, aws s3, computer vision |
Designed and implemented a layered data lake using AWS S3, and ELT process with Airbyte to extract CRM data, filter data with Python script, and finally serve data into Postgresql, using DBT for modeling. It enabled to feed a resume platform with candidate data and produce aggregated statistics | 0Data Engineer
| numpy, javascript, git, business acumen, powerbi, pentaho, gcp, data modeling, azure data factory, node.js, snowflake, aws glue, seaborn, keras, bigquery, sql, dynamodb, aws dynamodb, tensorflow, google cloud storage, pentaho., postgresql, azure storage account, terraform, sqlalchemy, azure, matlab, docker, power bi, aws ecs, matplotlib, decision making, fastapi, linux, opencv, databricks, jupyter notebook, aws redshift, scikit-learn, shell scripts, grafana, pytest, github actions, aws kinesis, apache spark, jupyter notebooks, tableau, rest api, pandas, azure blob storage, apache cassandra, python, github, time series, mongodb, nodejs, apache airflow, aws api gateway, airbyte, aws lambda, aws ec2, pydantic, bokeh, bash, aws sns, pyspark, fivetran, aws rds, statistics, aws, java, aws ecr, aws step functions, azure sql, hevo, geoplotlib, mariadb, dbt, redis, aws s3, azure hub iot, data |
Designed and maintained ETL architecture and processes using Apache Nifi, Apache Airflow, AWS services (S3, Athena, Redshift, SNS, EKS, ECS, Glue, EMR), Docker, and Python to create data lake infrastructure for one of the largest Fintech companies in Argentina. | 0Data Engineer
| teradata, oracle, kubeflow, dataflow, google data fusion, kubernetes, python, github, gcp, visual studio, aws emr, aws athena, gitlab, google dataflow, snowflake, ml, mongodb, aws glue, datadog, apache airflow, planning, sql, google dataproc, google cloud storage, google bigquery, sql server, postgresql, aws sns, perl, aws eks, docker, aws ecs, mysql, fastapi, linux, aws, java, bigtable, unix, mssql, apache nifi, unix platforms, aws redshift, windows, aws data stack, scikit-learn, dbt, ms sql, apache nif, windows servers, aws s3, google data studio, data, grafana, github actions |
Empowered the agency by enabling contributors search and report generation functionalities through the Ruby on Rails and React application. | 4Software Engineer
| numpy, kafka, apache kafka, redux, databases, pandas, perfect, css, javascript, heroku, python, github, gcp, selenium, programming, time series, ml frameworks, html, node.js, software architecture, mongodb, apache airflow, keras, spring, planning, pymongo, ruby on rails, react.js, visualization, postgres, travisci, django, teamwork, bokeh, graphql, go, express.js, tensorflow, xgboost, r, ownership, storybook, streamlit, bash, postgresql, collaboration, pyspark, docker, microsoft excel, sqlserver, mysql, plotly, statistics, aws, nginx, java, c, opencv, jquery, typescript, aws redshift, scikit-learn, sidekiq, flask, airflow, data, pytest, sinatra, ruby, php, react |
Built a recommendation engine to help users find a neighborhood that fit their profile in which they could search for housing options, for a leading employee relocation company in the US. The solution used Unsupervised Learning techniques (Clustering, Cosine Similarity) to match the profiles, and it was implemented in Python, and deployed to AWS (ECR, Fargate, Lambda, API Gateway), and CICD was implemented with GitHub Actions and infrastructure configured with Terraform. | 3Machine Learning Engineer
| numpy, jupyter notebooks, databases, pandas, apache cassandra, python, apache hadoop, github, aws services, ml frameworks, jupyter, geopandas, hadoop ecosystem and docker, mongodb, nosql, chartio, scala, aws api gateway, visualization, aws lambda, aws ec2, aws fargate, tensorflow, express.js, xgboost, r, fastapi and express.js, nlp, backend, postgresql, scrapy, terraform, docker, aws ecs, cassandra, cloud computing, aws iam, h3, matplotlib, data science, aws vpc, mysql, aws rds, fastapi, statistics, aws, skillsml, aws ecr, aws step functions, jupyter notebook, scikit-learn, aws sqs, scikitlearn, aws s3, data, tree-based models with xgboost, github actions |
Implemented and maintained ETL pipelines with Apache Airflow to Amazon Redshift to feed a data warehouse to get insights from a transactional database. | 0Data Engineer
| apache spark, aws cloudformation, oracle, sql servers, dax, spark, dax., cloud sql, python, git, powerbi, programming, rds, aws emr, cloud, gitlab, matillion, azure data factory, dbschema, apache airflow, big data processing, sql, visualization, aws lambda, sap, azure analysis services., bash, postgresql, azure, docker, azure data warehouse., aws rds, aws, lambda. azure data factory, gradle., azure sql, kotlin, aws redshift, aws s3, kotlin., power bi., redshift, emr, oracle dbs |
Implemented and maintained ELT pipelines with Apache Beam hosted on Dataflow runner to process CDC data streams to feed the data warehouse raw zone at BigQuery from multiple MySQL databases (Aurora and RDS) with around 8 million financial records daily to enable operational and strategic analytics of a factoring company. | 0Data Engineer
| numpy, apache spark, kafka, apache kafka, pandas, dataflow, dax, aws cli, kubernetes, looker, python, git, structured streaming, sac, powerbi, cloud sql, github, gcp, sql serveranalysisservices, datastream, ml frameworks, sap analytics cloud, google compute engine, snowflake, structured streaming spark, mongodb, looker studio, google vertex ai, apache airflow, sap hana, sql, visualization, spark structured streaming, django, requests, aws lambda, sap, google cloud run, firestore database, google cloud storage, google bigquery, sql server, postgresql, aws aurora, terraform, azure, pyspark, ansible, docker, microsoft excel, gcloud cli, mysql, aws rds, linux, google cloud, nielsenanswersdata, aws, apache beam, azure sql, databricks, dagster, firestore, dbt, scikit-learn, google cloud functions, airflow, aws s3, gcp iam, github actions, golangdatabases |
Automated key business processes by deploying DevOps tools such as Jenkins, Git and Docker | 1Data Analyst
| other |
Design, structure and perform analyzes that answer business questions and then synthesize them into relevant presentations for the Executive Committee. | 5Analytics Engineer
| other |
Worked closely with the commercial team on multiple approaches to handle customers | 2Data Scientist
| numpy, azure sql databases, databases, pandas, mrmr, microsoft sql server, python, powerbi, pycaret, pytesseract, aws athena, time series, ml frameworks, jupyter, azure machine learning studio, seaborn, keras, sql, shap, aws sagemaker, visualization, teamwork, go, tensorflow, sql server, r, streamlit, azure, microsoft excel, matplotlib, statistics, aws, opencv, azure sql, databricks, jupyter notebook, sklearn, sagemaker, scikit-learn, aws s3, data, azure databricks, computer vision |
Created methodology for AB experimentation on client contract renegotiation. | 2Data Scientist
| other |
Developed an application to detect and classify images using Tensorflow, FastAPI for the backend and Streamlit for the frontend. | 3Machine Learning Engineer
| pytorch, numpy, databases, pandas, python, git, vagrant, torchmetrics, github, webdatasets, huggingface, gitlab, apache airflow, qdrant, langchain, sql, visualization, c++, celery, mlflow, aws ec2, chroma, tensorflow, ml tools, streamlit, bash, nlp, postgresql, terraform, pyspark, ansible, docker, decision making, latex, mysql, fastapi, linux, aws, sqlite, c, generative models, databricks, scikit-learn, flask, airflow, aws s3, dash, scipy, data, ruby, computer vision |
Created strategic and operational dashboards using Tableau to track KPIs, automate processes, generate alerting systems, and develop trend analysis. | 1Data Analyst
| numpy, google bigquery, tableau, oracle, r, pandas, kimball-style data modeling, sqlite data, databricks visualization, looker, python, microsoft excel, gcp, alation, data modeling, decision making, time series, statistics, sqlite, spss, databricks, snowflake, vba, stata, java databases, sql, medallion architecture |
Utilized ETL CICD automation methodologies using Pyspark, Azure Data Factory and Jenkins to streamline and accelerate the data processing and delivery pipelines, enhancing data management practices, improving data quality, establishing data traceability, and ensuring data availability, highlighting the effectiveness of the data-driven approach in managing risk and improving business performance for a financial institution in Colombia and Spain. | 0Data Engineer
| apache spark, oracle, databases, dataflow, postgresql, jenkins, azure, pyspark, azure synapse, apache hadoop, python, microsoft excel, powerbi, microstrategy, gcp, decision making, data modeling, mysql, aws, microsoft fabric, azure data factory, azure sql, databricks, data management, scala, sql, spark sql, data factory, data, visualization, hadoop, delta lake, sigma |
Migrated multiple tables, functions and jobs from a legacy SQL Server data warehouse to Snowflake reducing execution time and incidents amount for internal and external business stakeholders. | 0Data Engineer
| pytorch, spacy, circleci, sodavisualization, rabbitmq, jenkins, javascript, ms sqlserverdata, python, git, powerbi, gcp, angular, ml frameworks, matillion, snowflake, mongodb, soda, apache airflow, keras, sql, shell, c++, django, tensorflowextended, raspberrypi, tensorflow, google bigquery, sql server, r, postgresql, terraform, docker, power bi, vue, amperity, swagger, linux, fastapi, java, aws, c, airtable, typescript, octave, kotlin, firebase, shell scripts, redash, yaml, flask, airflow, rust, grafana, mercurial, arduino, express, computer vision, react |
Set up an ETL used to pull 100,000 images serialized as TensorFlow TF Records in AWS EC2 for consumption by a computer vision object detection model trained in an EC2 Linux instance on TensorFlow with a Fast API deployed via AWS Lambda. The solution includes a PythonStreamlit web application to simplify image uploads. | 3Machine Learning Engineer
| pytorch, numpy, apache spark, aws visualization, sas, pandas, databases, javascript, aws batch, apache cassandra, python, git, powerbi, github, huggingface, dvc, apache airflow, keras, apache impala, ruby on rails, sql, aws eventbridge, aws api gateway, c++, mlflow, aws lambda, aws ec2, tensorflow object detection api, ibm, tensorflow, ml tools, streamlit, postgresql, aws sns, scrapy, docker, power bi, aws ecs, decision making, mysql, hugging face, fastapi, linux, aws, java, c, aws ecr, opencv, jupyter notebook, aws redshift, apache sparkdata, scikit-learn, flask, airflow, aws s3, fast api, github actions, ruby, computer vision, react |
Defined new key performance indicators (KPIs) for the Marketing department to drive better business decisions. | 1Data Analyst
| played a crucial role in establishing new reports focused on online stores performance using sql and excel getting to set priorities and implementing processes for the new bi area created from scratch after the company got acquired by infracommerce., luigi, tableau, developed business reports using tableau and powerquery that allowed the delivery of data-driven insights for a european food-tech company., databases, powerquery, including table modeling for the data warehouse using pyspark on databricks and report creation on looker. the migration led to an easier way to calculate kpis for different areas of the company., business administration, report creation, leading to a faster and easier way to create reports and data analysis., on various kpis for senior management and foreign investors of one of the biggest latam e-commerces., supervised an intern, worked with data engineering and data analytics projects to migrate data from tableau to looker, guiabolso sep 2017, restructured the bi area, looker, python, powerbi, gcp, international management, business intelligence analyst, developed ad hoc analysis, created the companys data warehouse by developing data pipelines, including interns and junior analysts, mongodb, vba, such as clustering analysis, apache impala, resulting in the development of strong interpersonal skills and valuable insights into international business practices delivering accurate and timely reporting and insights., università luigi bocconi, sql, visualization, multicultural team on projects with significant international exposure, databricks and looker at a brazilian fintech startup., metabase, and coordinated information needs for the companys subsidiaries in eight different countries., olook june 2014, google bigquery, hellofresh aug 2016, bi, advanced analytics and models using pyspark in databricks, pyspark, demonstrating strong leadership and communication skills., microsoft excel, education, improving data-gathering and report-building using sql and excel in a brazilian well known online store. defined new key performance indicators, dataform, databricks, supervised a team of four analysts, providing mentorship and support to ensure her success in the role., dafiti june 2012, created dashboards and reports for senior management using sql, ba, analyzed data mainly using excel to develop actionable insights that drove business decisions related to the business expansion in brazil and other latam countries., fgv-eaesp, excelsenior data analyst, junior business intelligence analyst, data, worked on data science projects, contributed to a high-performance, leadership, gathered information and built reports and presentations using vba and sql, and kpi calculation using sql, excel and tableau |
Used services such as Azure Cognitive. | 0Data Engineer
| pytorch, apache spark, c#, relational dbs, swift, pytorch., jenkins, functions, javascript, cognitive, and java., cloud sql, python, git, github, selenium, programming, rds, cloud, azure virtual machines, ml, mongodb, apache airflow, sql azure, keras, nosql, sql, c++, .net, django, apis., aws ec2, sql server, bash, .net core., backend, blob storage, postgresql, virtual machines, azure, docker, mysql, aws rds, aws, java, opencv, azure sql, kotlin, sklearn, appservice, bash scripting, aws s3, s3, jira, load balancer, php, react |
Designed and built a data warehouse following Kimball’s data modeling technique and the modular data modeling technique using DBT. | 0Data Engineer
| pytorch, scikit, apache spark, python, git, github, data modeling, google identity platform, redcap, aws glue, apache airflow, sql, dynamodb, aws lambda, aws ec2, aws dynamodb, google cloud run, google cloud storage, google bigquery, r, ml tools, streamlit, nlp, postgresql, aws sns, terraform, matlab, docker, latex, aws rds, linux, statistics, aws, java, aws step functions, aws redshift, firestore, dbt, aws s3, data, github actions, aws kinesis, leadership, computer vision |
Managed ML lifecycle with MLFlow. | 3Machine Learning Engineer
| pytorch, numpy, lightgbm, rest api, sas, pandas, databases, aws batch, python, github, huggingface, nltk, time series, ml frameworks, aws sdk for python (boto3), dvc, sql, aws eventbridge, aws api gateway, c++, mlflow, aws lambda, aws ec2, go, ibm, tensorflow, xgboost, streamlit, nlp, aws sns, terraform, matlab, pyspark, docker, aws ecs, matplotlib, fastapi, statistics, aws, nginx, aws ecr, aws redshift, scikit-learn, aws s3, aws sdk for python, data, github actions, computer vision |
Developed and implemented a forecasting model on KPIs that had been affected by Covid19 pandemic. The models were created using time series methods in R, that enable the creation of new temporary qualifying rules for the Frequent Flyer Program. | 2Data Scientist
| numpy, teradata, tensorflow, xgboost, tableau, sql server, r, ownership, sas, pandas, databases, nlp, pyspark, python, microsoft excel, powerbi, tensorflow probability, sqlserver, mysql, time series, alteryx, statistics, ml frameworks, hue, daskvisualization, scikit-learn, apache impala, impala, sql, data |
Led the development and implementation of a predictive model for long term loyalty points breakage estimation usign Python and SQL, enabling insights based on breakage future behavior understanding . Reduced original forecasting error by 20%. | 2Data Scientist
| apache spark, sas visual analytics, sas, pandas, databases, introduction to the top public cloud platforms, az-900 exam, spark, javascript, apache hadoop, python, powerbi, gcp, sql serveranalysisservices, azure machine learning, sas certified visual business analyst, azure cognitive search, ml frameworks, google machine learning, exploration and design using sas visual analytics, google vertex ai, torch, sql, pandas foundations, visualization, fundamentals of aws, sap, xgboost, google bigquery, r, azure ml, vertex ai, nlp, cloudera developer training for spark, manipulating dataframes in pandas, azure, azure synapse, using credit scoring nodes, microsoft excel, microsoft azure fundamentals, decision making, roberta, azure devops, devops fundamentals, risk modeling add-on for sas visual data mining and machine, knime, aws, neural networks and deep learning, azure sql, flask, data, hadoop, deploying machine learning models with flask |
Taught NLP topics with practical examples, including recurrent neural networks, word embeddings (word2vec, GloVe, ELMO), and attention-based models (Transformers for machine translation, BERT for question-answering, and others) with TensorFlow. | 2Data Scientist
| pytorch, numpy, apache spark, c#, oracle, databases, pandas, spark, hive, apache hadoop, python, git, shiny, github, pentaho, gcp, ml frameworks, neptune, snowflake, seaborn, keras, sap data services, sql, visualization, c++, .net, sap, go, tensorflow, xgboost, sql server, r, microsoft word, nlp, pyspark, docker, matplotlib, mysql, linux, statistics, aws, c, apache hive, aws redshift, sagemaker, scikit-learn, scipy, data, hadoop, redshift, aws neptune |
Migrated legacy PySpark transformation pipeline to Databricks using SQL and dbt, reducing processing time by 60% and storage costs by 30%. | 0Data Engineer
| apache spark, databases, spark, looker, python, git, github, gcp, data modeling, aws athena, aws emr, spark streaming, snowflake, aws glue, apache airflow, planning, scala, sql, visualization, metabase, aws lambda, go, postgresql, pyspark, aws ecs, fivetran, decision making, apache zeppelin, mysql, aws rds, golang, aws, databricks, dbt, aws sqs, airflow, aws s3, data, pytest |
Carried out a Legacy Code Migration from SAS to PySpark for a large bank institution. | 0Data Engineer
| apache spark, teradata, kafka, hdfs, rest api, apache kafka, sas, pandas, databases, spark, lambda, hive, apache hadoop, python, powerbi, gcp, data modeling, selenium, aws emr, ml frameworks, snowflake, azure visualization, aws glue, apache airflow, scala, sql, dynamodb, c++, postgres, aws lambda, db2, sql server, postgresql, deequ, azure, pyspark, docker, decision making, mysql, aws rds, aws, java, c, apache hive, azure sql, databricks, aws redshift, sagemaker, airflow, aws s3, data, hadoop, redshift, delta lake, emr |
Gathered data from different sources based either on S3 or by using APIs, processed and transformed data for analysis and data scientists projects using S3, SNS, SQS, Lambda, Step Functions, AWS Glue, RDS, dynamo and PySpark for a client in the microchips manufacturing industry. | 4Software Engineer
| apache spark, oracle, databases, dataflow, spark, hive, opensearch, apache hadoop, python, cloud sql, gcp, sap solution, aws emr, angular, nifi, aws glue, apache airflow, sql, elasticsearch, dynamodb, visualization, airbyte, aws lambda, google dataproc, aws ec2, sap, google cloud composer, ibm, hybris, postgresql, aws sns, pyspark, mysql, aws rds, aws, aws step functions, apache hive, apache nifi, aws redshift, dbt, aws sqs, google cloud functions, airflow, aws s3, dataproc, google data studio, data, hadoop |
Built ML-based risk models with Scikit-learn and developed API systems using Flask and Docker to screen for different chronic health conditions using questionnaires focusing on actionability and prevention for a healthcare software startup. Leveraged public health data and medical records to train and validate the models, incorporating NLP techniques for processing unstructured medical data and utilizing Spark for handling Big Data. | 2Data Scientist
| pytorch, numpy, beautifulsoup, javascript, kubernetes, git, pycaret, gcp, selenium, aws athena, dbeaver, jupyter, prestosql, seaborn, qgis, keras, planning, sql, c++, tensorflow, google cloud storage, dask, postgresql, docker, matplotlib, latex, rstudio, fastapi, google cloud, databricks, jupyter notebook, aws redshift, firebase, scikit-learn, rust, scipy, pytest, github actions, lightgbm, apache spark, databases, pandas, julia, spark, python, github, nltk, time series, gitlab, ml frameworks, mongodb, apache airflow, aws api gateway, visualization, mlflow, aws lambda, aws ec2, pydantic, xgboost, google bigquery, svelte, r, nlp, aws aurora, pyspark, mysql, plotly, java, aws, aws ecr, duckdb, sagemaker, ggplot2, firestore, flask, redis, airflow, aws s3, presto, data, jira, beautiful soup, react |
Integrated third party API like Verizon PoC. (how did you do it, what tool(s) were used? And why was this task important for the project?) | 4Software Engineer
| apache spark, kafka, rest api, apache kafka, databases, jpa, spark, apache tomcat, jenkins, hive, flume, apache hadoop, git, github, data modeling, apache maven, aws emr, azure data factory, mongodb, kanban, spring, glassfish, avro, elasticsearch, spring framework, groovy, aws lambda, aws ec2, go, hbase, maven, azure, docker, mysql, java, aws, apache parquet, apache hive, unix, apache flume, shell scripts, redis, aws s3, data, jira, gradle, hadoop, aws kinesis, leadership |
Developed a loan default prediction model tabular data, over 1.5 million samples, and 100+ features using machine learning techniques and models such as XGBoost and Catboost models. Techniques included tree-based models from Scikit-learn, support vector machines, gradient boosting (Catboost library) and neural networks using Keras. Deployed the model alongside an explainability framework using a dockerized API. | 3Machine Learning Engineer
| aws ec2, yolov4, numpy, tensorflow, google cloud storage, xgboost, pandas, nlp, postgresql, labview, python, docker, git, aws ecs, gcp storage, gcp, huggingface, tensorflow 2.0, fastapi, catboost, statistics, aws, ml frameworks, aws ecr, visual, node.js, nodejs, scikit-learn, aws sqs, apache airflow, keras, flask, aws s3, sql, data |
I am responsible for developing media data analysis, and discovering the best advertisement contents in order to increase revenue and business metrics. I base my analysis on the CRISP- DM framework. In the Data Preparation part, I mainly use distributions analysis and Z-Score and Boxplot for Outlier Detection. | 2Data Scientist
| numpy, retail market, apache spark, kafka, tableau, apache kafka, databases, pandas, spark, analysis, python, powerbi, gcp, data modeling, tdd, data analytics, aws athena, time series, ecommerce, ml frameworks, regression model, etl, image quality, mapbox, aws glue, data processing, product quality, data lake, learning, apache airflow, sql, data analysis, visualization, business metrics, mlflow, product development, metabase, unsupervised learning, tensorflow, google bigquery, test driven development, streamlit, outlier detection, data visualization, data preparation, google analytics, increase revenue, apriori algorithm, machine learning, agile methodologies, matplotlib, data science, plotly, recommender system, aws, develop dashboards, random forest, predictive maintenance, ai, opencv, decision tree, image classification, statistical, airflow, aws s3, data |
Collaborated with the core business teams and cross-functional engineering teams to establish and structure the implementation of business metrics concepts. | 0Data Engineer
| luigi, apache spark, kafka, hdfs, tableau, apache kafka, databases, spark, apache livy, jenkins, kubernetes, looker, python, argocd, gcp, gitlab, jupyter, node.js, prestosql, mongodb, apache airflow, ruby on rails, scala, sql, visualization, debezium, airbyte, metabase, digital ocean, apache ranger, go, google cloud storage, apache superset, postgresql, pyspark, ansible, docker, mysql, linux, golang, java, aws, databricks, jupyter notebook, rundeck, kotlin, dbt, redash, redis, data, ruby, react |
Created tables on AWS Athena for data analysts to write queries for metrics dashboards. | 0Data Engineer
| snowplow, apache spark, circleci, javascript, kubernetes, heroku, looker, python, git, google bigquerydata, gcp, data modeling, aws athena, gitlab, node.js, snowflake, delta lake, mongodb, aws glue, nodejs, model-view controller, apache airflow, sql, elasticsearch, aws api gateway, dynamodb, visualization, airbyte, aws ec2, aws dynamodb, ibm, great expectations, postgresql, aws sns, elastichsearch, terraform, jinja, azure, pyspark, docker, aws ecs, decision making, azure devops, mysql, aws rds, linux, aws, opencv, azure sql, databricks, aws redshift, dbt, aws s3, google data studio, delta live tables |
Developed a system to extract information from gas stations photos using computer vision techniques. Deployed the model using AWS Recognition. | 2Data Scientist
| apache spark, rest api, databases, pandas, kubernetes, python, git, pyplot, aws athena, time series, ml frameworks, seaborn, alert manager, apache airflow, databricksvisualization, keras, sql, aws ec2, db2, go, tensorflow, quicksight, aws recognition, bash, nlp, prometheus, sharp, docker, aws ecs, aws sdk, fastapi, linux, aws quicksight, golang, aws, databricks, sagemaker, flask, airflow, scipy, data, grafana, zabbix, computer vision |
Built a software tool using Python, Docker, Singularity, and Podman, leveraging container technologies for ease of use and distribution. This improved the reproducibility of machine learning pipelines for performance evaluation for an open engineering consortium with a mission to benefit society by accelerating innovation in machine learning. | 3Machine Learning Engineer
| pytorch, numpy, go, tensorflow, gpu, c#, databases, pandas, bash, tpu, postgresql, javascript, cpu multithreading, azure, python, docker, git, gcp, matplotlib, mlcube, huggingface, gradio, mysql, fastapi, java, aws, ml frameworks, opencv, azure sql, keras, flask, sql, data, c++, computer vision |
Developed a proprietary collection of microservices for sentiment analysis and topic classification tasks. | 3Machine Learning Engineer
| other |
Designed and implemented a Data Mesh architecture using Python and Scala, and processed and analyzed data using Apache Airflow and Apache Spark in AWS. | 0Data Engineer
| apache spark, sql server, apache kafka, dataflow, centos, postgresql, jenkins, azure, kubernetes, apache cassandra, python, apache hadoop, cassandra, data modeling, aws emr, mysql, datastax, aws, cql, tidb, azure sql, databricks, dagster, apache airflow, azure sq, apache flink, scala, sql, data, azure cosmosdb, hadoop, metabase |
Designed and implemented a career path for technical teams, including professional development, benefits, and goals. | 4Software Engineer
| data and visualization, numpy, c#, tableau, databases, pandas, javascript, python, git, gcp, huggingface, aws athena, nltk, time series, ml frameworks, ggplot, jupyter, ms sql server, mongodb, seaborn, keras, ruby on rails, sql, tidyverse, elasticsearch, c++, vb.net, metabase, aws lambda, neo4j, aws fargate, tensorflow, sql server, r, bash, nlp, azure, aws cloudwatch, docker, aws ecs, matplotlib, sqlserver, mysql, linux, java, aws, aws cloudfront, c, opencv, azure sql, jupyter notebook, mssql, windows, scikit-learn, asp.net, flask, aws s3, rust, ruby, react |
Developed and deployed web applications using AWS services (S3, CloudFormation, Elastic Beanstalk, RDS, CloudFront, Lambda). | 4Software Engineer
| other |
Built a routing application optimizing fuel costs rather than arrival time or total distance reducing trip costs to 70% using Python, Node JS, SQL, HereMaps API, Google Maps API for a logistics company. | 6Full-Stack Engineer
| cloudformation, pytorch, aws cloudformation, relational dbs, socket.io, mssql and, javascript, shapely, git, powerbi, selenium, aws emr, cloud, azure data factory, node.js, aws glue, glue, qgis, nosql, sql, dynamodb, athena., azure sql datawarehouse, vpcs. microsoft azure., django, socket io, geoanalytics, backend, postgresql, azure devops., azure, azure synapse, docker, power bi, aws ecs, metabase., spectrum, databricks, mssql, aws redshift, aws stack, html., aws sqs, databricks sql, delta lake, apache spark, tableau, databases, pandas, spark, cloud sql, python, programming, html, big data processing, scala, postgis, visualization, metabase, aws lambda, aws ec2, esp. lambda, go, google bigquery, r, flask., h3, azure devops, mysql, aws rds, apache sedona, java, aws, c, azure sql, dbt, ms sql, flask, aws s3, rpa, data, redshift |
Assisted the company’s collections area by providing insights of their data. | 3Machine Learning Engineer
| numpy, jupyter notebooks, databases, pandas, apache cassandra, python, apache hadoop, github, aws services, ml frameworks, jupyter, geopandas, hadoop ecosystem and docker, mongodb, nosql, chartio, scala, aws api gateway, visualization, aws lambda, aws ec2, aws fargate, tensorflow, express.js, xgboost, r, fastapi and express.js, nlp, backend, postgresql, scrapy, terraform, docker, aws ecs, cassandra, cloud computing, aws iam, h3, matplotlib, data science, aws vpc, mysql, aws rds, fastapi, statistics, aws, skillsml, aws ecr, aws step functions, jupyter notebook, scikit-learn, aws sqs, scikitlearn, aws s3, data, tree-based models with xgboost, github actions |
Built PowerBI dashboards to analyze and visualize KPIs to maximize the effectiveness of targeted sales based on data for different products. | 1Data Analyst
| pytorch, go, lightgbm, ibm, numpy, tensorflow, xgboost, spacy, transact-sql, computer vision., databases, pandas, dataflow, computer vision, nlp, postgresql, javascript, azure, matlab, python, power bi, microsoft excel, powerbi, matplotlib, decision making, mysql, plotly, aws, ml frameworks, azure sql, seaborn, scikit-learn, open smartflex, sql, data, visualization, metabase |
Built a feature for a streaming data pipeline using Python, GCP, and Java, leveraging lambda architecture to enable the police to monitor security incidents via a real-time dashboard for a leading smart cities company in Latin America. | 0Data Engineer
| other |
Enhanced the systems observability by configuring X-Ray for comprehensive monitoring and tracking. Cloudwatch was also configured for logging, ensuring logs were captured and analyzed effectively. Additionally, the team made a strategic decision to switch to the ELK (Elasticsearch, Logstash, Kibana) stack for logging and analysis, as it was deemed easier to use for their specific needs. | 4Software Engineer
| elk, api gateway, apache spark, aws cloudformation, c#, databases, spark, logstash, jenkins, aws batch, kubernetes, python, spectrum visualization, github, aws iam identity center, aws codebuild, aws athena, aws route53, aws glue, glue, sql, aws eventbridge, elasticsearch, dynamodb, .net, aws lambda, aws ec2, dotnet, kibana, go, bash, aws control tower, postgresql, aws sns, terraform, azure, aws cloudwatch, docker, pulumi, aws ecs, aws iam, aws vpc, azure devops, mysql, aws rds, golang, aws, java, azure sql, aws redshift, aws sqs, aws x-ray, redis, aws s3, data, github actions, aws kinesis, aws cloudtrail |
Applied engineering skills to decouple an extensive monolithic application into more scalable services, improving availability and providing faster feature feedback while considering user experience and how to deliver a better onboarding process from a better front end to a more flexible back end. | 4Software Engineer
| decrease, data in a very intense batch job., apache spark, kafka, oracle, rest api, apache kafka, kubeflow, i was asked to design and build tools to improve citizens relationship, databases, with government, performance, spark, jenkins, javascript, bureaucracy and other key aspects to improve government efficiency., kubernetes, microsoft office, writing applications with a good design to be delivered continuously and follow deployment status to other teams, python, software engineer, using java related technologies, senior software engineer, my tasks were related to deliver solutions that would help, my main tasks were, gitlab, ml frameworks, programs to decrease debts, software architecture, people across the state., snowflake, applying multithreading techniques, pulsar, apache airflow, applying best practices and selecting tools that help developing and delivering applications in a fast-paced and reliable way.
programming, softtek jan 2012, scala, acting mainly as an integration architect inside one of the great retailers on brazil, resource it solutions jan 2013, visualization, mlflow, metabase, sigma, go, working for a state sponsored company, magna sistemas sep 2013, postgresql, the team were able to almost double the throughput of processed, azure, delivered solutions to support a large number of accesses by users worldwide, using an agile methodology and java for a large financial company., process and transform external data delivered by third-party providers into useful, mysql, golang, java, aws, data inside the customer. the main project was maintain a home made solution to integrate hr data, that later was replaced by a solution designed on oracle odi. ive participated designing the solution, applied tdd and architecture knowledge to increase code coverage, testing and fixing errors on odi scripts., deliver information, dbt, increase transparency, tech mahindra may 2014, redash, with a high availability and secure architecture is my current focus, airflow, aws s3, data, s3, related to receive, seldon |
Built a data pipeline with AWS Glue that extracts data from Amazon S3 and stores into another bucket. Selected DBT and Redshift Spectrum for creating dimensional tables guided by the Kimball methodology for data warehousing, with processes orchestrated using Apache Airflow. | 0Data Engineer
| feast, apache spark, tableau, pandas, jenkins, css, javascript, aws batch, python, git, github, gcp, angular, gitlab, html, aws glue, apache airflow, splunk, bigquery, sql, tablea, dynamodb, c++, mlflow, airbyte, aws lambda, google dataproc, aws ec2, aws dynamodb, gitlab ci, express.js, sql server, nlp, great expectations, postgresql, aws sns, terraform, aws eks, matlab, pyspark, docker, microsoft excel, design patterns, visual basic, mysql, aws rds, vs code, linux, statistics, aws, java, aws step functions, databricks, mssql, aws redshift, dbt, ms sql, aws s3, dataproc, data, pytest, github actions, aws kinesis |
Cleaned and gathered data, and developed a systems core features to estimate a clients credit score. The estimation was made using business rules defined by the credit team. | 4Software Engineer
| pytorch, numpy, lightgbm, tensorflow, apache spark, c#, xgboost, sql server, databases, pandas, nlp, circleci, spark, postgresql, terraform, azure, pyspark, python, docker, azure devops, mysql, time series, statistics, java, aws, ml frameworks, c, azure sql, databricks, scikit-learn, keras, flask, sql, data, c++, delta lake |
Delivered solutions to support a large number of accesses by users worldwide, using an Agile methodology and Java for a large financial company. | 4Software Engineer
| decrease, data in a very intense batch job., apache spark, kafka, oracle, rest api, apache kafka, kubeflow, i was asked to design and build tools to improve citizens relationship, databases, with government, performance, spark, jenkins, javascript, bureaucracy and other key aspects to improve government efficiency., kubernetes, microsoft office, writing applications with a good design to be delivered continuously and follow deployment status to other teams, python, software engineer, using java related technologies, senior software engineer, my tasks were related to deliver solutions that would help, my main tasks were, gitlab, ml frameworks, programs to decrease debts, software architecture, people across the state., snowflake, applying multithreading techniques, pulsar, apache airflow, applying best practices and selecting tools that help developing and delivering applications in a fast-paced and reliable way.
programming, softtek jan 2012, scala, acting mainly as an integration architect inside one of the great retailers on brazil, resource it solutions jan 2013, visualization, mlflow, metabase, sigma, go, working for a state sponsored company, magna sistemas sep 2013, postgresql, the team were able to almost double the throughput of processed, azure, delivered solutions to support a large number of accesses by users worldwide, using an agile methodology and java for a large financial company., process and transform external data delivered by third-party providers into useful, mysql, golang, java, aws, data inside the customer. the main project was maintain a home made solution to integrate hr data, that later was replaced by a solution designed on oracle odi. ive participated designing the solution, applied tdd and architecture knowledge to increase code coverage, testing and fixing errors on odi scripts., deliver information, dbt, increase transparency, tech mahindra may 2014, redash, with a high availability and secure architecture is my current focus, airflow, aws s3, data, s3, related to receive, seldon |
Designed a quantitative methodology using statistical tools to interview and analyze the socio-political speech of religious voices with political influence from 7 Latin American countries in the framework of the general assembly of the Organization of American States (OAS). | 2Data Scientist
| pytorch, networkx, apache spark, tensorflow, xgboost, spacy, streamlit, databases, pandas, nlp, spark, gephi, python, git, github, matplotlib, selenium, decision making, huggingface, time series, plotly, aws, ml frameworks, c, aws redshift, aws glue, scikit-learn, apache airflow, shell scripts, airflow, aws s3, sql, shap, data, visualization |
Built an ETL workflow for API Events using AWS Kinesis, Glue and AWS Batch for a MaaS platform. | 3Machine Learning Engineer
| hyperopt, cloudformation, pytorch, numpy, apache spark, aws cloudformation, kafka, apache kafka, databases, pandas, spark, hive, aws batch, apache cassandra, python, apache hadoop, git, aws emr, aws athena, time series, spark streaming, prestosql, mongodb, aws glue, dvc, seaborn, apache airflow, scala, vuejs, dynamodb, c++, mlflow, aws lambda, aws ec2, go, tensorflow, ml tools, streamlit, bash, kinesis, postgresql, facebook prophet, cubejs, sqlalchemy, docker, aws ecs, matplotlib, mysql, aws rds, fastapi, plotly, statistics, aws, apache hive, databricks, aws redshift, snowflakedata, scikit-learn, airflow, and, aws s3, dash, presto, data, hadoop, aws kinesis, react |
Created executive reporting and dashboards with Power BI and Tableau. | 5Analytics Engineer
| apache spark, tableau, databases, python, powerbi, github, data modeling, nltk, snowflake, aws glue, apache airflow, sql, aws eventbridge, dynamodb, visualization, google sheets, airbyte, aws lambda, aws ec2, aws dynamodb, bash, postgresql, aws sns, terraform, matlab, docker, power bi, decision making, aws rds, aws, aws step functions, airtable, databricks, jupyter notebook, aws redshift, dbt, redash, aws s3, data, github actions, aws kinesis, leadership |
Cost management and improvements | 0Data Engineer
| pytorch, apache spark, kafka, c#, apache kafka, databases, pandas, dataflow, spark, css, javascript, apache cassandra, python, structured streaming, gcp, data modeling, datastax, ml frameworks, cloud storage, html, azure data factory, node.js, mongodb, apache airflow, ruby on rails, scala, sql, neo4j, google dataproc, go, tensorflow, google cloud storage, google bigquery, r, blob storage, postgresql, css. ruby on rails, terraform, azure, pyspark, docker, microsoft excel, mysql, linux, java, aws, accountability, azure sql, databricks, shell script, data management, scikit-learn, dbt, shell scripts, redis, airflow, aws s3, dataproc, data, s3, leadership, delta lake, ruby |
Development of a single-agent and multi-agent Reinforcement Learning approach to reduce the electrical consumption of a set of buildings. The agent was intended to choose to use as source either the electrical grid or a rechargeable battery, thus reducing costs and contamination. | 3Machine Learning Engineer
| pytorch, numpy, databases, pandas, python, git, vagrant, torchmetrics, github, webdatasets, huggingface, gitlab, apache airflow, qdrant, langchain, sql, visualization, c++, celery, mlflow, aws ec2, chroma, tensorflow, ml tools, streamlit, bash, nlp, postgresql, terraform, pyspark, ansible, docker, decision making, latex, mysql, fastapi, linux, aws, sqlite, c, generative models, databricks, scikit-learn, flask, airflow, aws s3, dash, scipy, data, ruby, computer vision |
Led the team that finished 3rd in the Learn By Doing - NeurIPS 2021 competition, where we used control theory to develop controllers for complex dynamical systems. | 3Machine Learning Engineer
| aws ec2, pytorch, typer, numpy, tensorflow, xgboost, postgresql, facebook prophet, prophet, pythondatabases, pyspark, scipyvisualization, python, docker, git, matplotlib, latex, huggingface, mysql, time series, fastapi, jax, aws, ml frameworks, databricks, mongodb, seaborn, scikit-learn, react, flask, apache impala, shap, scipy, mlflow, scikit learn, mongodbdata |
Led a team of 10 to define the architecture and implementation of a full-stack talent acquisition platform using AWS tools and NLP Techniques such as sentence similarity matching, text classification, sentence embedding and transformer-based models. | 3Machine Learning Engineer
| hyperopt, , pytorch, aws cloudformation, financial, actuarial, javascript, aws batch, universidad de los andes, built a model for loan default prediction, s3 and airflow to collect job postings from websites and public apis, powerbi, senior machine learning engineer, aws emr, aws athena, implemented a portfolio-construction plus backtest system for 11 poc partnerships., ai product manager nanodegree, designed and managed the connection of the front-end product with financial back-end data necessities., built data pipelines using spark on aws emr and feature engineering for a state-of-the-art recommender system, and deep learning to optimize vehicle allocation for a mobility-as-a-service, developed quantitative methodologies to calculate risk-return properties of global assets to construct efficient portfolios., calculated and managed life insurance policy reserves for 5 life insurance, aws glue, seaborn, university of bonn, keras, implemented financial functions to keep track of, movii feb 2019, sql, dynamodb, c++, developed market execution rules and algorithms on 4 different markets to optimize, express del futuro july 2018, bsc, mathematical finance., tensorflow, mathematics, kinesis, developed an identity fraud detection model for a fintech company with, financial mathematics lead, built a data warehouse for the company, postgresql, prophet, sqlalchemy, matlab, docker, led a team of 6 people in the financial mathematics branch of the company., microsoft excel, vue, matplotlib, latex, which was accepted and ranked, data science, alkanza inc jan 2017, built optimized portfolios for clients from 8 business partnerships in the u.s., fastapi, developed quantitative investment strategies and short-term tactics for 5 fixed income mutual funds and 4 equity mutual funds., databricks, integrating 5 different sources of data., developed job crawler using python, octave, financial mathematics senior analyst, scikit-learn, certified trader on derivatives and fixed income and equity mutual funds, led the data analytics team, developed customer segmentation program for financial inclusion based on transactional data and in-app behavior., sarima, aws kinesis, scikit-learn go package, implicit strong convergence schemes for stochastic differential equations without global lipschitz coefficients.specialization in stochastic analysis, apache spark, tableau, apache kafka, quantitative analyst, brazil and colombia, assisted in the design of 4 back-end services to run data-driven analyses on, as well as the profitability of the bidding prices., certificate of international competence icc, advised on the financial statistics side for the economic offer of the company on the public tender for the operation of 6 public transport routes of the city of bogotá., python, github, nltk, time series, profesionales de bolsa - stockbroker feb 2014, implemented and analyzed the complexity of statistical tests and algorithms for several downstream tasks in signal processing., ml frameworks, hyperopt for hyperparameter optimization and mlflow for experiment tracking. implemented a neural machine translation, mexico, rocksdb, mongodb, apache airflow, revisited the financial model of the, developed and implemented the financial valuation model of the life insurance branch of the company., mlflow, including the deployment as a dockerized api in aws and an explainability framework on top of it., aws lambda, aws ec2, built dashboards that generated bidding, created business dashboards that showed customer behavior and helped managers make business decisions., alkanza inc feb 2016, go, bringing automated financial advisory to over 2, xgboost, r, streamlit, bash, nlp, facebook prophet, machine learning in finance, developed a proprietary collection of microservices for sentiment analysis and topic classification tasks using deep learning., mysql, education, plotly, statistics, java, aws, c, machine learning phd summer school, machine learning engineer nanodegree, airflow, vue js, factored may 2019, aws s3, dash, apache kafkavisualization, data, built a demand estimation model and a demand forecasting model using gradient boosting, old mutual holdings latam june 2015, exponential time smoothing |
Improved code style guidelines and code documentation, leading to a 35% reduction in code review time | 6Full-Stack Engineer
| other |
Set a new direction for an account payable platform’s data team by creatively formulating invoice parsing problems and thereby introducing LLMs (large language models), which have since become the center focus of its data research efforts. | 3Machine Learning Engineer
| pytorch, tensorflow, transformers, microsoft word, databases, nlp, julia, javascript, collaboration, sqlalchemy, python, git, docker, openai api, fastapi, linux, google drive, milvus, aws, node.js, typescript, mongodb, reactjs, firebase, nodejs, onnx, keras, flask, lisp, amplify, bigquery, langchain, sql, dynamodb, c++, flaskml tools, sqlachemy, react |
Created a layered data lake with AWS (Glue, S3). | 0Data Engineer
| apache spark, kafka, apache kafka, databases, python, powerbi, github, gcp, data modeling, aws emr, node.js, snowflake, apache hudi, mongodb, aws glue, google big query, apache airflow, splunk, sql, dynamodb, sharepoint, aws lambda, aws ec2, aws dynamodb, sap, apache iceberg, google cloud storage, google bigquery, r, great expectations, postgresql, aws sns, terraform, docker, aws rds, java, aws, aws step functions, data studio, databricks, aws redshift, dbt, time management, aws s3, data, github actions, aws kinesis, delta lake, react |
Supervised a team of four analysts, including interns and junior analysts, demonstrating strong leadership and communication skills. | 1Data Analyst
| played a crucial role in establishing new reports focused on online stores performance using sql and excel getting to set priorities and implementing processes for the new bi area created from scratch after the company got acquired by infracommerce., luigi, tableau, developed business reports using tableau and powerquery that allowed the delivery of data-driven insights for a european food-tech company., databases, powerquery, including table modeling for the data warehouse using pyspark on databricks and report creation on looker. the migration led to an easier way to calculate kpis for different areas of the company., business administration, report creation, leading to a faster and easier way to create reports and data analysis., on various kpis for senior management and foreign investors of one of the biggest latam e-commerces., supervised an intern, worked with data engineering and data analytics projects to migrate data from tableau to looker, guiabolso sep 2017, restructured the bi area, looker, python, powerbi, gcp, international management, business intelligence analyst, developed ad hoc analysis, created the companys data warehouse by developing data pipelines, including interns and junior analysts, mongodb, vba, such as clustering analysis, apache impala, resulting in the development of strong interpersonal skills and valuable insights into international business practices delivering accurate and timely reporting and insights., università luigi bocconi, sql, visualization, multicultural team on projects with significant international exposure, databricks and looker at a brazilian fintech startup., metabase, and coordinated information needs for the companys subsidiaries in eight different countries., olook june 2014, google bigquery, hellofresh aug 2016, bi, advanced analytics and models using pyspark in databricks, pyspark, demonstrating strong leadership and communication skills., microsoft excel, education, improving data-gathering and report-building using sql and excel in a brazilian well known online store. defined new key performance indicators, dataform, databricks, supervised a team of four analysts, providing mentorship and support to ensure her success in the role., dafiti june 2012, created dashboards and reports for senior management using sql, ba, analyzed data mainly using excel to develop actionable insights that drove business decisions related to the business expansion in brazil and other latam countries., fgv-eaesp, excelsenior data analyst, junior business intelligence analyst, data, worked on data science projects, contributed to a high-performance, leadership, gathered information and built reports and presentations using vba and sql, and kpi calculation using sql, excel and tableau |
Developed an interactive visualization app using R and Shiny to deliver industry-competitors data for the investment team to monitor relative returns for a pension fund administrator company in Colombia. | 1Data Analyst
| object-oriented programming in python, sql for data analysis, numpy, dbt fundamentals, r, databases, pandas, applied plotting, dax, postgresql, jinja, shiny app, pyspark, python, git, docker, shiny, powerbi, matplotlib, time series, ml frameworks, snowflake, scikit-learn, dbt, apache airflow, introduction to pyspark, airflow, sql, data, introduction to airflow in python, visualization, bloomberg, charting |
Generated comprehensive photovoltaic modules metrics reports for Chilean solar companies using Python, PostgreSQL, and Superset, facilitating informed decision-making and driving customer acquisition efforts. | 1Data Analyst
| other |
Designed, implemented and maintained ETLs processes to feed the company’s data warehouse (Azure) using SQL scripts on Azure Data Warehouse. Pulled data from sources such as SAP, Oracle DBs, and plain files. Orchestrator used was Azure Data Factory. | 0Data Engineer
| apache spark, aws cloudformation, oracle, sql servers, dax, spark, dax., cloud sql, python, git, powerbi, programming, rds, aws emr, cloud, gitlab, matillion, azure data factory, dbschema, apache airflow, big data processing, sql, visualization, aws lambda, sap, azure analysis services., bash, postgresql, azure, docker, azure data warehouse., aws rds, aws, lambda. azure data factory, gradle., azure sql, kotlin, aws redshift, aws s3, kotlin., power bi., redshift, emr, oracle dbs |
Developed and deployed a machine learning classification project about student dropouts. The F1 score reached was 80% using Python, Pandas, Scikit-learn, AWS Sagemaker and Random Forest. The Admission department requested this project. | 1Data Analyst
| pytorch, web scraping, qlikview, numpy, apache spark, c#, oracle, rest api, data warehouse, sas, pandas, databases, regex, mlops, agile, javascript, apache hadoop, python, git, llm, powerbi, pentaho, gcp, nltk, time series, ml frameworks, yarn, etl, jupyter., mongodb, seaborn, kanban, nosql, sql, azure ml studio, aws sagemaker, visualization, data stage, tensorflow, xgboost, advanced ml, sql server, r, nlp, sql server integration services, azure, docker, microsoft excel, microstrategy, bert, azure devops, fasttext, plotly, aws, toad, azure sql, sagemaker, scikit-learn, data, beautiful soup, hadoop, scrum, sckit-learn |
Designed and analyzed a customer segmentation using BigQuery, R, Python, Data Studio, Power BI, Gephi and Docker for a leading retirement and pension fund management company in Colombia. Processed unstructured data using experiment designs and topic modeling over customer experience NPS surveys and created visualizations to generate insights and product analytics per segment. | 2Data Scientist
| databases, css, javascript, gephi, python, git, powerbi, gcp, time series, ml frameworks, html, beam, mongodb, vba, stata, apache airflow, qgis, keras, bigquery, sql, tidyverse, visualization, c++, tensorflow, google cloud storage, sql server, r, postgresql, docker, decision making, latex, mysql, java, apache beam, data studio, data management, scikit-learn, google cloud functions, airflow, data, react |
Created a marketing monetization and acquisition PLX dashboard to measure performance and ROI for one of the biggest online sharing, streaming video, and social media platforms. | 3Machine Learning Engineer
| simul 8, pytorch, numpy, apache spark, teradata, jupyter notebooks, databases, pandas, regex, google sql, microsoft office, apache cassandra, python, looker, git, gcp, huggingface, ml frameworks, mongodb, seaborn, apache airflow, keras, planning, sql, xdk, elasticsearch, aws api gateway, google plx dashboards, visualization, mlflow, aws ec2, aws fargate, tensorflow, xgboost, google bigquery, r, streamlit, bash, nlp, postgresql, pyspark, matlab, docker, aws ecs, matplotlib, decision making, latex, mysql, fastapi, java, aws, aws ecr, apache beam, databricks, jupyter notebook, aws redshift, scikit-learn, shell scripts, tf object detection api, airflow, aws s3, data, beautiful soup |
Developed microservices using Java 8, Spring Boot, and Spring Data to manage orders, transactions, buyerseller portals, integrations with SAP ERP and external services to build a Digital Wallet platform | 4Software Engineer
| oracle, bitbucket, dataflow, circleci, jenkins, javascript, gcp, confluent schema registry, flyway, aws emr, aws athena, aws glue, datadog, planning, testcontainers, bigquery, sql, spring framework, django, sap, ibm, google cloud storage, kinesis, gcp dataflow, postgresql, docker, design patterns, decision making, fastapi, jquery, databricks, sns, kotlin, aws redshift, gcs, oracle db, aws sqs, s3, pytest, github actions, hadoop, aws kinesis, sap erp, aws neptune, junit 5, msk, apache spark, tableau, rest api, apache kafka, databases, pandas, apache cassandra, python, apache hadoop, structured streaming, data engineering, github, rds, apache airflow, spring, scala, sqs, elasticsearch, visualization, spark structured streaming, airbyte, aws ec2, go, aws sns, collaboration, pyspark, cassandra, mysql, aws rds, java, aws, apache beam, dbt, aws msk, kotest, redis, airflow, aws s3, redshift |
Designed and created an internal web app used to manage the allocation of flower deliveries to larger partners such as Costco | 4Software Engineer
| rest api, socket.io, data warehouse, databases, mobile app, rest apis development, javascript, linear regression, cloud sql, python, programming, pipeline design, aws emr, chart.js, business needs, cloud, ml frameworks, etl, snowflake, mongodb, web app, sql, transactional databases, dms, visualization, aws dms, collect requirements, aws ec2, approximation algorithms, aurora, aws aurora, machine learning, deep learning, analysis domain, mysql, epidemiology, aws, ai, scikit-learn, cloud services, flask, aws s3, numerical analysis, sql and javascript, data, s3 |
Designed a new data transfer system for a POS service built in PHP to send around 100k transactions per minute for different types of businesses facilitating the process of accepting payments and keeping the track of sales. | 4Software Engineer
| other |
Processed automation in data gathering and cleaning, analytics, and general solutions using tools like Knime, Python, and R. | 5Analytics Engineer
| aws cloudformation, kafka, oracle, apache kafka, databases, datomic, jenkins, kubernetes, apache cassandra, python, git, gitlab, distributed systems, erlang, planning, sql, elasticsearch, aws api gateway, dynamodb, visualization, c++, aws cdk, aws ec2, go, aws cdk in typescript, postgresql, terraform, aws eks, ansible, aws cloudwatch, docker, cassandra, mysql, aws rds, swagger, linux, knime, aws, java, c, unix, typescript, lucidchart, data, grafana, clojure |
Designed, built, and maintained a variety of reports using SQL and Data Studio. | 1Data Analyst
| apache spark, rest api, pandas, dataflow, regex, jenkins, javascript, google datastore, python, git, github, google, gcp, data modeling, selenium, google dataflow, node.js, postman, aws glue, apache airflow, planning, sql, dynamodb, c++, aws lambda, aws ec2, neo4j, aws dynamodb, google cloud storage, google bigquery, bash, postgresql, aws sns, terraform, pyspark, docker, mysql, aws rds, statistics, aws, aws step functions, apache beam, unix, data studio, aws redshift, scikit-learn, dbt, serverless framework, aws s3, google data studio, data, pytest, github actions, aws kinesis |
Designed and deployed an MLOPs system for CICD of an AutoML platform. The system uses github actions and MLflow for monitoring several benchmarks in time, as well as to run unit tests and automatically deliver the solution. | 3Machine Learning Engineer
| apache spark.visualization, bokeh, lightgbm, tensorflow, pandas, twisted., postgresql, jenkins, twisted, apache cassandra, python, git, docker, aws ecs, github, amazon redshift, and javascript.databases, fastapi, aws, ml frameworks, mongodb.data, mongodb, aws redshift, scikit-learn, apache airflow, flask, c++, github actions, mlflow, computer vision |
Designed and implemented file processing workers that provided code insights over the existing infrastructure, which helped identify optimized by using features from AWS to reduce the number of components and save costs. | 6Full-Stack Engineer
| elk, api gateway, apache spark, aws cloudformation, c#, databases, spark, logstash, jenkins, aws batch, kubernetes, python, spectrum visualization, github, aws iam identity center, aws codebuild, aws athena, aws route53, aws glue, glue, sql, aws eventbridge, elasticsearch, dynamodb, .net, aws lambda, aws ec2, dotnet, kibana, go, bash, aws control tower, postgresql, aws sns, terraform, azure, aws cloudwatch, docker, pulumi, aws ecs, aws iam, aws vpc, azure devops, mysql, aws rds, golang, aws, java, azure sql, aws redshift, aws sqs, aws x-ray, redis, aws s3, data, github actions, aws kinesis, aws cloudtrail |
Ensured CICD for the product with Scrum methodologies. | 0Data Engineer
| apache spark, aws cloudformation, oracle, sql servers, dax, spark, dax., cloud sql, python, git, powerbi, programming, rds, aws emr, cloud, gitlab, matillion, azure data factory, dbschema, apache airflow, big data processing, sql, visualization, aws lambda, sap, azure analysis services., bash, postgresql, azure, docker, azure data warehouse., aws rds, aws, lambda. azure data factory, gradle., azure sql, kotlin, aws redshift, aws s3, kotlin., power bi., redshift, emr, oracle dbs |
Designed and developed frontend and backend web applications, using ReactJS and NodeJS, reaching millions of users, component-oriented allowing content managers dynamically change the pages using a CMS for a worldwide e-sports company. | 4Software Engineer
| redux, databases, dataflow, semanticui, sass, postgresql, css, javascript, contentstack, contenful, flow type, less, microsoft office, git, netlify, vercel, react native, mysql, linux, aws, solidity, html, node.js, wordpress, typescript, mongodb, expo, reactjs, d3.js, ruby on rails, sql, data, visualization, sinatra, ruby, php, react |
Developed an ETL process for analysis of credit data using AWS Glue Jobs, Metaverse and Airflow. | 0Data Engineer
| pytorch, apache spark, c#, oracle, spark, python, git, powerbi, gcp, aws glue, apache airflow, excel, bigquery, sql, singlestore, c++, postgres, tensorflow, aws codepipeline, postgresql, docker, power bi, microsoft excel, matplotlib, linux, plotly, java, aws, aws ecr, databricks, aws redshift, scikit-learn, asp.net, airflow, dash, data, jira, aws kinesis, redshift |
Analysis of the performance of the sales force and report by campaign of the evolution of the variables on which its management and growth are measured. | 5Analytics Engineer
| other |
Built new requirements and supported the active components using distributed patterns (microservices architecture) with Flask and Python. | 4Software Engineer
| pytorch, scikit, apache spark, python, git, github, data modeling, google identity platform, redcap, aws glue, apache airflow, sql, dynamodb, aws lambda, aws ec2, aws dynamodb, google cloud run, go, google cloud storage, google bigquery, r, ml tools, streamlit, nlp, postgresql, aws sns, terraform, matlab, docker, latex, aws rds, linux, statistics, aws, java, aws step functions, aws redshift, firestore, dbt, aws s3, data, github actions, aws kinesis, leadership, computer vision |
Deployed ML models in production. | 3Machine Learning Engineer
| numpy, apache spark, teradata, oracle, hdfs, bitbucket, pandas, databases, qlik, spark, hive, kubernetes, apache hadoop, python, git, powerbi, github, gcp, time series, gitlab, ml frameworks, mongodb, apache airflow, sql, elasticsearch, visualization, mlflow, metabase, aws ec2, db2, tensorflow, sql server, postgresql, scrapy, azure, azure synapse, docker, sqlserver, mysql, linux, statistics, aws, sqlite, apache hive, azure sql, databricks, jupyter notebook, sagemaker, scikit-learn, dbt, shell scripts, flask, airflow, data, hadoop, delta lake |
Developed job crawler using Python, AWS Athena, S3 and Airflow to collect job postings from websites and public APIs | 3Machine Learning Engineer
| hyperopt, pytorch, kafka, c#, javascript, eafit university, digital library., muñoz, s3 and airflow to collect job postings from websites and public apis, js, deep learning specialization, aws athena, aws emr, a training platform for computer vision models., aws redshift data, jm., universidad eafit jun 2018, regularization and optimization, bsc, neo4j, tensorflow, dr., developed an identity fraud detection model for a fintech company with, postgresql, aurora, docker, patiño, vue, aws ecs, direct scalar field - to - truss representation and stress simulation of open pore domains., fastapi, hugging, reinforcement learning, developed job crawler using python, scikit-learn, github actions, hyperparameter tuning, gcp ml tools, apache spark, apache kafka, neo4j graphdb, spark, improving deep neural, implemented machine learning algorithms to predict energy consumption in manufacturing plants. worked with university of illinois urbana-champaign manufacturing research group., prediction and control with function approximation, gutiérrez, python, github, hyperopt for hyperparameter optimization and mlflow for experiment tracking. research assistant, time series, design of linkages assisted by reinforcement learning methods., mongodb, tensorflowjs, apache airflow, artificial intelligence, mechanical engineering, cm., aws api gateway, integrated multiple modules developed by other teams to enhance the recommender algorithm., mlflow, aws lambda, aws ec2, aws fargate, go, xgboost, r, video games developer dec 2017, micromaster in artificial intelligence, nlp, developed an iot platform for industrial machinery integrating iot tools, c., aws aurora, velásquez, ros, mysql, self-driving car nanodegree, valencia, education, aws, c, neural networks and deep learning, sagemaker, medea interactiva, airflow, vue js, aws s3, computer vision |
Carried out use cases including several audio and text classification models, as well as sentence embedding models to use in semantic search. | 2Data Scientist
| aws ec2, pytorch, weights, apache spark, xgboost, kubeflow, r, streamlit, aws s3data, google automl, nlp, pythondatabases, kubernetes, pyspark, neptune.ai, python, docker, matplotlib, huggingface, hugging face, fastapi, plotly, statistics, aws, c, datarobot, ml, amazon sagemaker, sagemaker, ggplot2, scikit-learn, planning, fast api, tidyverse, weights & biases, scikit learn, pytorch lightning, computer vision |
Introduced new analytical tools such as R Studio and Power BI. | 1Data Analyst
| other |
Improved the performance of the profile section of the app using VueJS, by doing a lazy loading of the information and finding and removing render-blocking components of that section. | 6Full-Stack Engineer
| objective-c, go, xamarin, firebase realtime db, socket.io, databases, swift, bootstrap, postgresql, css, javascript, google datastore, vue, gcp, programming, react native, angular, electronjs, java, aws, twilio, c, html, node.js, typescript, play framework, firebase, react, planning, redis, ruby on rails, vue js, scala, sql, mac os, angularjs, ruby, aws lambda |
Generated commercial strategies from internal and external information for the optimal development of the different organizational objectives and goals. | 1Data Analyst
| other |
Captured, processed and visualized public and private data for the agribusiness sector to develop soil analysis and production quality projects. | 0Data Engineer
| apache spark, c#, oracle, databases, spark, css, javascript, apache hadoop, python, ml frameworks, jupyter, html, azure data factory, aws glue, glue, apache airflow, planning, scala, sql, elasticsearch, c++, .net, postgresqldata, go, sql server, postgresql, terraform, azure, mysql, alteryx, linux, java, aws, aws ecr, azure sql, jupyter notebook, windows, sagemaker, dbt, airflow, aws s3, hadoop |
Got intensive training in state of the art techniques in Machine Learning and Deep Learning, as well as immersion in Deep Learning frameworks to solve different regression and classification problems. | 3Machine Learning Engineer
| pytorch, go, tensorflow, spacy, tableau, databases, pandas, nlp, postgresql, javascript, sqlalchemy, pyspark, python, microsoft excel, gcp, mysql, aws, java, ml frameworks, opencv, raspberry pi, databricks, mongodb, aws redshift, scikit-learn, apache airflow, keras, airflow, rust, shap, data, visualization, mlflow, django, react |
Designed, deployed and led projects related to bigdata seeking relationships between keeping user information safe and the benefit of advertisers, using big data platforms as AWS Kinesis Streaming and Firehouse, Spark, Hadoop, Hive and S3 Storage allowed all data and management teams to know and understand the importance of investing in data for one of the most recognized social media service. | 0Data Engineer
| apache spark, tableau, oracle, databases, kusto sql, spark, hive, javascript, apache hadoop, python, looker, powerbi, aws emr, sql server data tools, jupyter, yarn, node.js, snowflake, sql server integration servicesdata, aws glue, apache airflow, databricksvisualization, scala, sql, .net, postgres, google bigquery, sql server, postgresql, collaboration, sqlalchemy, azure, mysql, aws rds, linux, alteryx, statistics, aws, apache hive, azure sql, databricks, jupyter notebook, aws redshift, d3.js, dbt, flask, airflow, aws s3, hadoop, aws kinesis, sql server database, react |
Implemented (What was implemented?) for creating a simple web application that uses Gin, a web framework written in Golang . | 4Software Engineer
| apache spark, kafka, rest api, apache kafka, databases, jpa, spark, apache tomcat, jenkins, hive, flume, apache hadoop, git, github, data modeling, apache maven, aws emr, azure data factory, mongodb, kanban, spring, glassfish, avro, elasticsearch, spring framework, groovy, aws lambda, aws ec2, go, hbase, maven, azure, docker, mysql, java, aws, apache parquet, apache hive, unix, apache flume, shell scripts, redis, aws s3, data, jira, gradle, hadoop, aws kinesis, leadership |
Gathered and compiled flat files into S3 environment, created views (e.g. customer, consent, contract) in AWS Redshift, and integrated descriptive Tableau dashboards to facilitate decision making. | 5Analytics Engineer
| olap cubes, numpy, apache spark, nnet, python seaborn, hdfs, tableau, sas, pandas, qlik, markdown, python, shiny, powerbi, tableau server, ml frameworks, seaborn, sparkr, sql, tidyverse, aws eventbridge, aws sagemaker, visualization, tidymodels, requests, aws lambda, aws ec2, caret, sql server, r, nlp, tableau prep, postgresql, data.table, pyspark, power bi, mysql, statistics, aws, qlik sense, spotfire, aws redshift, sagemaker, scikit-learn, aws s3, google data studio, data, forecast, solver |
Retrieved data from REST APIs to generate automated reports using Python, AWS Lambda, Docker, AWS S3, AWS DynamoDB, AWS SNS, and AWS Step functions. | 0Data Engineer
| feast, apache spark, tableau, pandas, jenkins, css, javascript, aws batch, python, git, github, gcp, angular, gitlab, html, aws glue, apache airflow, splunk, bigquery, sql, tablea, dynamodb, c++, mlflow, airbyte, aws lambda, google dataproc, aws ec2, aws dynamodb, gitlab ci, express.js, sql server, nlp, great expectations, postgresql, aws sns, terraform, aws eks, matlab, pyspark, docker, microsoft excel, design patterns, visual basic, mysql, aws rds, vs code, linux, statistics, aws, java, aws step functions, databricks, mssql, aws redshift, dbt, ms sql, aws s3, dataproc, data, pytest, github actions, aws kinesis |
Optimized sentence transformer models for deployment; reduced average inference time from 50s to under 1s by implementing more applicable models, avoiding unnecessary inference, utilizing ONNX conversion and caching. | 3Machine Learning Engineer
| pytorch, tensorflow, transformers, microsoft word, databases, nlp, julia, javascript, collaboration, sqlalchemy, python, git, docker, openai api, fastapi, linux, google drive, milvus, aws, node.js, typescript, mongodb, reactjs, firebase, nodejs, onnx, keras, flask, lisp, amplify, bigquery, langchain, sql, dynamodb, c++, flaskml tools, sqlachemy, react |
Prepared PowerPoint presentations with MS Excel analyzes to support marketing campaign strategies for multinational soccer, oil & gas, and beer companiesbrands. | 1Data Analyst
| teradata, jupyter notebooks, oracle, tableau, adobe analytics, sas, ms, looker, python, git, powerbi, github, data modeling, googlecloud, microsoft power point, snowflake, mongodb, qgis, knowledge of, bigquery, sql, visualization, amazon quicksight, r, bash, zeppelin, postgresql, power bi, microsoft excel, decision making, mysql, aws quicksight, statistics, aws, spss, jupyter notebook, aws redshift, dbt, redash, amazon, aws s3, data |
Implemented Gradient Boosting Regression and Additive Regression models (Prophet) to forecast hourly energy consumption and solar generation of residential customers for a utility company. Confidenceprediction intervals were used to identify anomalies and avoid billing errors. The solution was deployed on AzureML as a pipeline and the run is triggered monthly, and led to reduced billing verification time from one week to two days and increased ability to identify sensor failures. | 2Data Scientist
| pytorch, numpy, jupyter notebooks, pandas, kubernetes, apache cassandra, python, git, fastapi git, github, data modeling, huggingface, time series, ggplot, rasa, dvc, apache airflow, keras, sql, tidyverse, aws api gateway, aws ebs, tidymodels, mlflow, aws lambda, aws ec2, aws fargate, tensorflow, r, azureml, ml tools, streamlit, bash, postgresql, facebook prophet, azure functions, azure, pyspark, roxygen2, docker, microsoft excel, aws ecs, azure devops, fastapi, modeltime, statistics, aws, aws ecr, azure sql, jupyter notebook, aws redshift, ggplot2, scikit-learn, shell scripts, tf object detection api, airflow, aws s3, data, github actions, computer vision |
Built an LLM application using Python for the backend, AWS SNS for event publishing, AWS Lambda for serverless deployment, Docker and AWS ECR for application repository, DynamoDB for interaction logs, AWS EFS for resource sharing across AWS Lambda invocations, and Terraform for the creation and management of cloud infrastructure. The application indexes the companys documentation using ChromaDB for vector storage and exposes it through Slack in a chat-based interface, enabling a source of truth for the whole company’s documentation in a consistent and scalable manner, and improving its content distribution, making it easier for new joiners to learn about the companys processes, policies, and guidelines. | 0Data Engineer
| apache spark, databases, pandas, spark, postgresql, elementary, aws sns, terraform, python, docker, chromadb, polars, github, aws, aws ecr, c, databricks, snowflake, jupyter notebook, duckdb, dbt, apache airflow, redash, aws efs, airflow, aws s3, rust, sql, data, dynamodb, visualization, github actions, airbyte, aws lambda |
Created and supported dashboards measuring content consumption, app performance and user retention metrics for the Analytics Department using BigQuery, Data Studio and Power BI. | 1Data Analyst
| apache spark, rest api, spark, apache cassandra, python, git, github, selenium, matillion, snowflake, mongodb, aws glue, apache airflow, pymongo, apache flink, bigquery, scala, sql, redshiftdata, metabase, aws lambda, bash, great expectations, pyspark, docker, microsoft excel, design patterns, aws rds, oop, aws, aws step functions, databricks, aws redshift, dbt, airflow, aws s3, data, github actions, aws kinesis, solid principles |
Implemented an event-based web sockets ETL to capture information of invoices directly from commerces’ POS system to do Market Basket Analysis and consumer behavioral analysis. | 2Data Scientist
| apache spark, circleci, labview, jenkins, javascript, apache cassandra, python, git, github, gcp, alation, rds, aws emr, ml frameworks, node.js, snowflake, leadership, nodejs, apache airflow, planning, sql, aws sagemaker, dynamodb, c++, nexla, aws ec2, google bigquery, bash, postgresql, terraform, docker, latex, mysql, aws rds, fastapi, linux, aws, typescript, aws redshift, sagemaker, scikit-learn, dbt, shell scripts, data, github actions, aws kinesis, redshift, computer vision |
Researched and developed machine learning workflows for the detection of fake reviews in finance apps in a batch-processing setting. The project used Databricks for data preprocessing, feature extraction, model training, and workflow orchestration. Sckit-learn was employed for the development of the models and MLflow for the model registry and serving. | 2Data Scientist
| pytorch, numpy, kubernetes, git, powerbi, huggingface, aws athena, aws emr, azure machine learning, azure computer vision, azure data factory, snowflake, aws glue, seaborn, keras, nosql, sql, dynamodb, c++, tensorboard, azure event hubs, ibm, tensorflow, postgresql, azure functions, aws eks, azure, docker, power bi, aws ecs, azure cognitive services, matplotlib, azure hdinsight, azure iot edge, azure data lake storage, opencv, databricks, aws redshift, azure speech, scikit-learn, shell scripts, pyterrier, gensim, azure vms, scipy, pytest, github actions, hugging-face transformers, aws kinesis, delta lake, apache spark, apache kafka, pandas, apache cassandra, python, structured streaming, github, nltk, gitlab, ml frameworks, amazon sagemaker, apache airflow, azure cosmodb, mlflow, spark structured streaming, aws lambda, aws ec2, azure container registry, bokeh, aws fargate, sql server, azure storage, azure kubernetes, azure sql database, great expectations, collaboration, pyspark, azure iot hub, azure devops, aws rds, aws, c, apache hive, azure sql, sagemaker, airflow, unity catalog, aws s3, azure sql server, data, computer vision |