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Created dashboards on ThoughtSpot to visualize KPIs (e.g. customer churn, revenue, ARPU). | 1Data Analyst
| aws ec2, aws dynamodb, tensorflow, apache spark, ml tools, pandas, postgresql, aws sns, terraform, pyspark, python, git, docker, microsoft excel, github, matplotlib, data modeling, aws emr, aws rds, aws, aws step functions, snowflake, aws redshift, aws glue, scikit-learn, dbt, apache airflow, keras, splunk, aws s3, sql, data, dynamodb, github actions, aws kinesis, airbyte, aws lambda |
Performed data transformations and analysis on unstructured data from a datakake implemented on AWS S3 using Snowflake stages and directory tables. | 0Data Engineer
| aws ec2, aws dynamodb, tensorflow, apache spark, ml tools, pandas, postgresql, aws sns, terraform, pyspark, python, git, docker, microsoft excel, github, matplotlib, data modeling, aws emr, aws rds, aws, aws step functions, snowflake, aws redshift, aws glue, scikit-learn, dbt, apache airflow, keras, splunk, aws s3, sql, data, dynamodb, github actions, aws kinesis, airbyte, aws lambda |
Designed and implemented the internal Automated Messaging System,responsible for most of the interactions with customers made by the company. The system was built using Python and APIs from partners that carried out SMS and URA, Email (Sendgrid) and Push (Google Firebase). | 2Data Scientist
| other |
Helped to define architecture patterns (ETL | ELT) to create data pipelines(Batch and Streaming). | 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, 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 |
related to receive, process and transform external data delivered by third-party providers into useful | 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 |
Modeled Data Warehouse using AWS Redshift and Dbt to bring data to BI tools. Achieving high data availability and performance while monitoring the raw data and transforming it to clean data to be consumed by Power BI and Looker Studio, for a communications company. | 1Data Analyst
| numpy, kafka, apache kafka, databases, pandas, powerquery, lambda, kubernetes, looker, python, git, powerbi, github, gcp, data modeling, selenium, aws athena, gitlab, ml frameworks, athena, snowflake, textblob, mongodb, vba, aws glue, glue, seaborn, apache airflow, prefect, sql, visualization, google dataproc, google cloud storage, google bigquery, microsoft word, postgresql, pyspark, docker, power bi, microsoft excel, matplotlib, travis ci, aws documentdb, mysql, aws rds, aws, c, opencv, aws redshift, scikit-learn, dbt, airflow, aws s3, dataproc, rpa, data, s3, travis |
Developed a Python script to automate the generation of structural calculation reports for bridges and buildings, which accounted for a reduction of 30% in time. | 2Data Scientist
| pytorch, numpy, apache spark, c#, autocad, databases, pandas, aws batch, python, git, huggingface, ml frameworks, mongodb, aws sdk for python (boto3), dvc, seaborn, apache airflow, langchain, sql, aws eventbridge, shap, aws api gateway, visualization, mlflow, aws lambda, aws ec2, aws boto3, xgboost, nlp, postgresql, aws sns, rhino, pyspark, docker, microsoft excel, aws ecs, matplotlib, latex, grasshopper, fastapi, plotly, statistics, aws, aws ecr, opencv, databricks, redis, airflow, tekla structures, aws s3, scipy, data, computer vision |
Adapted 5+ model inference pipelines using PyTorch, multiple GPUs, and a Spark cluster. The inference speeded up to 10x or more according to the cluster used for the analytics innovation department of a telecommunication company. | 2Data Scientist
| pytorch, typer, fargate, numpy, apache spark, tableau, databases, pandas, spark, javascript, cloud sql, python, git, node, powerbi, github, gcp, programming, huggingface, python libraries and, delta tables, cloud, ml frameworks, dataabricks, html, reactjs, react, apache airflow, sql, shap, dynamodb, visualization, mlflow, angularjs, sigma, aws ec2, aws fargate, tensorflow, nlp, postgresql, pyspark, neptune.ai, docker, microsoft excel, aws ecs, mysql, hugging face, ecr, fastapi, aws, ecs, aws ecr, raspberry pi, databricks, aws redshift, scikit-learn, dbt, flask, airflow, aws s3, dash, data, s3, redshift, computer vision, sckit-learn |
Implemented AWS infrastructure using Terraform as infrastructure as code, including load balancer and EC2 instances, resulting in efficient and automated deployment. | 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 |
Participated in the research and development of an Image to Image translation model utilizing Generative Adversarial Networks (GANs) in PyTorch to simulate cloth virtual tryons for a luxury fashion company. Project scope included constructing data preprocessing and trainingevaluation pipelines, performing data-oriented error analysis, and collecting image data through web scraping. | 3Machine Learning Engineer
| pytorch, numpy, lightgbm, trax, weights, apache kafka, databases, pandas, apache cassandra, python, git, github, huggingface, mongodb, dvc, apache airflow, keras, sql, sensors, mlflow, aws lambda, aws ec2, aws fargate, tensorflow, ml tools, nlp, postgresql, terraform, matlab, pyspark, microcontrollers, docker, aws ecs, hugging face, fastapi, aws, aws ecr, opencv, raspberry pi, aws redshift, scikit-learn, airflow, aws s3, weights & biases, data, github actions, arduino, computer vision |
Built Tableau dashboards to analyze customer’s behavior data across 4 countries and improve metrics performance of customer and product oriented marketing campaigns (click to rate, open rate, credit card transactions, etc.) for a major global payment technology company with presence across Latam. | 1Data Analyst
| pytorch, numpy, challenges and possible solutions. sme annual conference, aws lambda and the serverless framework - hands on, aws ebsdata, aws batch, git, compose, powerbi, gcp, huggingface, aws emr, dvc, seaborn, python data analysis and machine learning course, keras, nosql, sql, aws eventbridge, shap, tensorflow, ml tools, postgresql, docker, power bi, microsoft excel, aws ecs, matplotlib, decision making, fastapi, opencv, databricks, jupyter notebook, mssql, aws redshift, scikit-learn, shell scripts, tf object detection api, langchain for llm application development, github actions, docker compose, apache spark, tableau, pandas, apache cassandra, python, az., github, nltk, chatgpt prompt engineering for developers, apache airflow, excel, aws api gateway, mlflow, aws lambda, aws ec2, google bigquery, sql server, streamlit, gcp compute engine, bash, nlp, restrepo, aws sns, pyspark, anaconda, the complete python course - learn python by doing, vs code, publicationvelasquez, aws, aws ecr, antioquia - colombia, ms sql, aws s3, label-studio, google data studio, aws cloud practitioner essentials, computer vision |
Performed exploratory data analysis using Python and SQL leveraging on Jupyter notebook in AWS Sagemaker to generate actionable insights for the automation of business rules related to denials of medical charges for a High-tech and innovative medical documentation company. | 1Data Analyst
| microsoft visio, sql server, r, powerquery, postgresql, azure, microsoft office, looker, python, power bi, microsoft excel, powerbi, gcp, visual studio, ms office 365, mysql, google workspace, time series, rstudio, statistics, aws, microsoft power point, spss, azure sql, mssql, jupyter notebook, stata, sagemaker, m, eviews, t-sql, planning, bigquery, sql, data, visualization, power apps |
Developed an optimization model using Python that enabled the management team to generate actions that decreased by 7% the cash flow costs of ATMs in Colombia. Used storytelling frameworks to explain the results across multiple stakeholders. | 5Analytics Engineer
| other |
Created a forecast model to predict the number of members in the frequent flying program after the Covid19 pandemic using regression analysis for one of the largest airlines in Latam. | 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 |
Developed a NLP model to detect fake news headlines, using Hugging Face transformers to fine-tune a DistilBERT architecture. | 3Machine Learning Engineer
| 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 |
Delivered support to Data Warehouse users at an image sharing company by leveraging Databricks, AWS services and Jira within the service desk | 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 |
Implemented automations in GitHub including PR templates and automated releases to improve speed and documentation of PRs. | 0Data Engineer
| aws ec2, apache spark, redshift, sql server, hive, terraform, matlab, looker, python, git, docker, governance policies, aws ecs, powerbi, github, aws iam, aws codebuild, decision making, power bi, aws rds, aws, apache hive, databricks, snowflake, aws redshift, aws glue, datadog, dbt, apache airflow, apache impala, airflow, impala, aws s3, sql, data, github actions, google sheets, sharepoint |
Developed a credit default prediction model using Time Series with deep learning techniques and implemented a data pipeline using numpy, Pandas and Spark for one the largest fintech banks in the Americas. | 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 |
Designed an event-driven microservices architecture to re-engineer various ETL jobs and build a streaming pipeline on top of Apache Kafka using Java, and the Spring Framework for the e-Commerce platform with a throughput of 150K eventssecond for one of the largest and most important Brazilian Information technology companies. | 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, implemented and maintained an application in Go, fetching content in XML format to provide an HTML template for mail newsletters. WHAT WAS THE OUTCOME? WHAT WAS THE CLIENT OR PROJECT? | 6Full-Stack Engineer
| junit, go, redux, maven, databases, solr, css, f#, javascript, json, python, git, design patterns, apache maven, knockout js, angular, angular 5, aws, java, ml frameworks, html, typescript, mongodb, jest, aws s3, sql, react-redux, data, dynamodb, visualization, c++, css3, xml, react |
Created a multi-tenant architecture for a product providing chatbots as a service. | 4Software Engineer
| other |
Developed a model to predict price elasticity using XGBoost and RandomForests for a CPG company, Elasticity model was developed on python, and integrated into a JS interface to simulate how discounts and changes in price affected sales volumes. | 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 |
Led a deep learning research group focused on building autoencoder-based models for representation learning using Tensorflow to improve customer segmentation and recommender systems. | 2Data Scientist
| pytorch, google kubernetes engine, apache spark, spark, kubernetes, apache hadoop, python, git, aws emr, google compute engine, onnx, google vertex ai, sql, celery, pytorch lightning, aws ec2, sap, tensorflow, google bigquery, gcpml frameworks, streamlit, bash, nlp, postgresql, aws cognito, sqlalchemy, docker, microsoft excel, aws ecs, decision making, mysql, fastapi, linux, aws, pytorch-lightning, google cloud storagedata, scikit-learn, aws gateway, aws s3, artifact registry, computer vision, react |
Created a client-server Log Analyzer with support for File Rotation, retries in the event of a network failure, and alarm setsclears via SNMP traps to a Monitoring Platform in Python. | 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 |
Created DevOps training content based on best practices and industry standards. | 3Machine Learning Engineer
| aws ec2, aws cloudformation, c#, oracle, sql server, bash, nlp, postgresql, javascript, terraform, kubernetes, microsoft office, python, docker, git, aws ecs, github, gcp, amazon redshift, mysql, aws rds, angular, linux, aws, linux., typescript, databricks, aws redshift, aws glue, apache airflow, sql, rpa, dynamodb, github actions, mlflow, django, react |
Automated a Python code to parse large files for troubleshooting and providing solutions and troubleshooting to customers infrastructure based on "Tetration" using Big Data technologies. | 0Data Engineer
| aws ec2, apache spark, google bigquery, oracle, hdfs, confluence, tableau, databases, sqoop, spark, apache pig, hive, azure, pyspark, apache hadoop, python, stitch, github, gcp, decision making, mysql, java, aws, apache hive, snowflake, dagster, mongodb, apache airflow, airflow, aws s3, sql, data, jira, github actions, hadoop, aws lambda |
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. | 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 |
Partnered with developers to provide data perspective, including data needs for customer communications, identifiers for reconciliations, and data needs for product owners and analysts for analysis. Assisted with various system integrations to enable data insights and improve data flows across the organization. | 0Data Engineer
| angular 8, apache spark, c#, pandas, qlik, rabbitmq, javascript, kubernetes, python, git, powerbi, pentaho, github, gcp, data modeling, angular js, angular, cloud functions, snowflake, mongodb, aws glue, apache airflow, sql, google sheets, aws ec2, gcp cloud storage, domo, google cloud storage, google bigquery, sql server, great expectations, postgresql, collaboration, sql server integration services, terraform, docker, power bi, decision making, mysql, aws rds, big query, fastapi, ssis, aws, mvc, qlik sense, databricks, aws redshift, asp.net, dbt, flask, aws s3, data, github actions |
Created graph theory-inspired algorithms using page rank, graph degree, and optimal path methods to offer diverse financial products to companies related to corporate loans, factoring, digital wallets and salary advances, enhancing private equity-driven decisions for fintech and supply chain industries. | 2Data Scientist
| pytorch, lightgbm, apache spark, rest api, folium, databases, pandas, deep learning in python, google cloud vm, aws batch, intro to sql for data science, cleaning data in python, apache cassandra, python, network analysis in python, gcp, data modeling, huggingface, the data, time series, ml frameworks, snowflake, seaborn, planning, tensorflow serving, introduction to data visualization with python, sql, aws eventbridge, shap, statistical thinking in python, visualization, mlflow, postgres, aws lambda, neo4j, data scientist with python track, ibm, tensorflow, xgboost, google bigquery, machine learning with python track, streamlit, cloud run, nlp, postgresql, facebook prophet, aws sns, supervised learning with scikit-learn, open source tools for data science, docker, introduction to databases in python, aws ecs, linear classifiers in python, unsupervised learning in python, hugging face, fastapi, plotly, statistics, java, aws, aws ecr, data studio, neural networks and deep learning, databricks, aws redshift, scikit-learn, flask, aws s3, dash, google data studio, data, the introduction to quantum computing, joining data in sql, redshift, computer vision |
Mentored and supported other team members in data-wise problems and in the use of technologies like PySpark, Airflow, AWS S3, Kafka. | 0Data Engineer
| numpy, kafka, aws cli, hive, javascript, kubernetes, looker, git, compose, powerbi, gcp, data modeling, angular, jupyter, datadog, sql, dynamodb, kibana, sap, tensorflow, flink, postgresql, terraform, azure, docker, matplotlib, asana, sqlserver, swagger, opencv, databricks, jupyter notebook, aws redshift, vault, scikit-learn, shell scripts, scipy, grafana, gis, pytest, hadoop, delta lake, zookeeper, snowplow, junit, docker compose, apache spark, tableau, confluence, apache kafka, databases, pandas, spark, apache hadoop, python, github, gitlab, ml frameworks, html, mongodb, apache airflow, apache flink, scala, postgis, elasticsearch, visualization, .net, mlflow, talend, aws ec2, trello, go, xgboost, zeppelin, great expectations, pyspark, mysql, aws, java, apache hive, azure sql, redis, airflow, restapi, aws s3, data, jira, beautiful soup, leadership, computer vision, react |
Built business intelligence dashboards in order to monitor KPIs of the operation and improve the strategic decision-making process. | 2Data Scientist
| other |
Implemented a neural machine translation SpanishEnglish model achieving a BLEU score of 22.10 using TensorFlow during the First cohort of the Training Program. | 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 |
Developed a radio-spectrum management application: PHP, WebServers and Constraint programming. | 4Software Engineer
| qemu., taught courses in analysis and design of algorithms, numpy, c#, provided support to students in solving problems related to competitive programming., bitbucket, pandas, databases, css, functional programming, javascript, python, vagrant, github, neural networks, ml frameworks, html, sphinx, computer simulation, keras, spring, sql, visualization, c++, django, virtualbox, aws ec2, joomla, go, and fundamentals of programming languages., sql server, bash, postgresql, universidad del valle mar, coupled with my ability to work collaboratively with teams, azure, matplotlib, latex, mysql, linux, java, aws, azure sql, microsoft azure, discrete mathematics, data, managed software projects related to recommendation systems and learning virtual objects., github actions, adjunct professor, enable me to deliver high-quality software solutions according to the client expectations. im committed to staying up-to-date with emerging technologies and trends in the field to ensure i continue to deliver exceptional results.skillsprogramming, php |
Developed multiple automated ETL pipelines that extract data from .xml files, .csv files, and relational databases and load them into a data lake in AWS Athena, for the data science team of a telecommunications company. Transformed and anonymized data using an EC2 instance, Lambda functions, and Python scripts. | 1Data Analyst
| numpy, lightgbm, apache spark, c#, react js, pandas, beautifulsoup, javascript, python, powerbi, github, data modeling, selenium, angular js, aws athena, angular, snowflake, aws glue, azure active directory, apache airflow, sql, aws eventbridge, aws api gateway, dynamodb, aws lambda, aws ec2, aws dynamodb, xgboost, sql server, ml tools, postgresql, aws sns, terraform, azure, pyspark, azure active directory b2c, azure devops server, docker, power bi, azure devops, aws rds, statistics, aws, java, c, aws step functions, azure sql, databricks, aws redshift, sagemaker, scikit-learn, dbt, shell scripts, aws s3, data, beautiful soup, github actions, aws kinesis, react |
Led the entire software development cycle using different web tools such as Django (Python), MeteorJS (Javascript), PostgresDB, MongoDB and MySQL. | 6Full-Stack Engineer
| numpy, apache spark, kafka, c#, oracle, apache kafka, databases, pandas, javascript, apache cassandra, python, git, meteor js, gcp, sql serveranalysisservices, angular js, aws athena, angular, gitlab, ml frameworks, node.js, snowflake, mongodb, cosmos db, apache airflow, nosql, sql, elasticsearch, c++, .net, django, azure synapse analytics, sql server, great expectations, postgresql, blob storage, azure, pyspark, azure synapse, docker, cassandra, mysql, linux, aws, java, sqlite, jquery, azure sql, aws redshift, scikit-learn, azure cosmos, flask, airflow, aws s3, data, apache jmeter, ruby, delta lake, php, react |
Integrated Hadoop into the traditional ETL process, accelerating the extraction, transformation, and loading of large amounts of structured and unstructured data. | 0Data Engineer
| oracle, circleci, ibm db2, looker, hyperion oracle, powerbi, gcp, data modeling, terremark dc, aws athena, aws emr, ec2, aws glue, sql, ibm bluemix, sap, ibm, tensorflow, google cloud storage, postgresql, terraform, sqlalchemy, azure, docker, power bi, google cloud, paas, mssql, jupyter notebook, aws redshift, shell scripts, scipy, hadoop, aws kinesis, apache kafka, apache hadoop, python, apache cassandra, cloud sql, github, sql serveranalysisservices, time series, ibm softlayer, html, ms sql server, ebs, progress, mongodb, apache airflow, scala, ms access, aws ebs, .net, aws lambda, aws ec2, db2, hbase, sql server, r, oracle cloud, pyspark, ansible, windows azure, mysql, aws rds, statistics, aws, java, c, spotfire, apache hive, aws step functions, azure sql, t-sql microsoft, windows, puppet, aws s3 |
Working as a Product Owner directly with the VP of the owner company, which made it possible to accelerate agility in deliveries and team strategies for a big clothing company in Brazil. | 0Data Engineer
| fargate, numpy, apache spark, kafka, cloudwatch, tableau, apache kafka, eventbridge, databases, pandas, julia, dax, spark, javascript, python, git, powerbi, pentaho, github, selenium, rds, aws athena, aws emr, gitlab, secrets manager, aws glue, glue, apache airflow, planning, scala, sql, aws eventbridge, dynamodb, visualization, postgres, prioritization, aws lambda, aws ec2, sap, r, step functions, quicksight, elasticache, postgresql, iam, terraform, azure, pyspark, aws cloudwatch, docker, aws ecs, aws iam, matplotlib, decision making, aws rds, aws, java, aws ecr, apache beam, azure sql, databricks, aws redshift, dbt, airflow, aws s3, rpa, data, s3, github actions, emr |
Maintained CICD pipeline (add steps, unit tests, and integration tests as required). | 4Software Engineer
| other |
Deployed models, ML pipelines, experiments, and containers in AzureML. Developed Azure Functions. | 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 |
Developed a sample methodology to improve uniformity index calculation for a chicken population, reducing the mean and variation estimations bias; it reduced the cost associated with the investigation. | 2Data Scientist
| 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 |
Supported internal machine learning models. | 5Analytics 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 |
Implemented an autoencoder architecture for anomaly detection using TensorFlow and Keras. | 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 |
Consumed and transformed streaming data to produce aggregated statistics, store data, and create real-time dashboards using Python, AWS Kinesis, AWS S3, and Splunk. | 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 |
Developed machine learning models to improve and automate key processes for clients. | 1Data Analyst
| other |
Facilitated business intelligence for the website using Google Looker, driving traffic optimization strategies. | 4Software Engineer
| apache spark, tableau, databases, pandas, postgresql, collaboration, jinja, azure, looker, python, git, powerbi, aws ecs, matplotlib, decision making, azure devops, aws, ml frameworks, azure data factory, databricks, snowflake, dbt, aws sqs, aws s3, aws eventbridge, data, dynamodb, visualization, airbyte, metabase |
Led and structured DBT-Core project to handle analytics code as an asset, using GitHub as CICD tool and dbt as framework, reducing manual workflow steps by 50% and reallocated time to more value-add engineering tasks, resulting in a 25% increase in new feature releases per month for an ed-tech platform. | 5Analytics Engineer
| apache spark, oracle, databases, pandas, spark, cloud sql, python, git, imb informix, powerbi, github, pentaho, ml frameworks, sap analytics cloud, software architecture, snowflake, seaborn, apache airflow, elementary-data, sap hana, sql, dynamodb, visualization, sap business objects bi, airbyte, metabase, aws lambda, periscope, sap, ibm, xgboost, google bigquery, r, postgresql, ibm informix, power bi, fivetran, decision making, mysql, sap business warehouse, fastapi, statistics, java, aws, oracle database, databricks, aws redshift, data management, scikit-learn, dbt, flask, superset, airflow, data, preset periscope, sap erp, php |
Performed data ingestion by leveraging indexing of unstructured data from DynamoDB into OpenSearch documents to accelerate the generation of search engine results for the platform users of a credit rating agency. | 0Data Engineer
| apache spark, c#, pandas, postgresql, python, docker, git, powerbi, selenium, mysql, aws, scikit-learn, apache airflow, planning, dash, data, dynamodb, leadership, vb.net |
Developed and maintained ETL jobs using Python, Snowflake, AWS S3, and AWS Lambda. | 0Data Engineer
| pycharm, tensorflow, visual studio code, google bigquery, tableau, oracle, r, bitbucket, sas, googledata studio ml frameworks, postgresql, looker, python, git, microsoft excel, powerbi, github, gcp, data modeling, mysql, rstudio, statistics, aws, jupyter, snowflake, jupyter notebook, dagster, oracle data, aws redshift, scikit-learn, dbt, apache airflow, keras, planning, airflow, aws s3, sql, airbyte |
Optimized the in-house Admire framework using React with a committee of 20 engineers on Huge’s FCA account (Fiat Chrysler Automobiles) in order to handle the automatization of FCA’s targeted campaigns. | 4Software Engineer
| oracle, sql server, databases, postgresql, jenkins, javascript, kubernetes, python, docker, vue, gcp, sql serveranalysisservices, angular js, mysql, angular, java, aws, node.js, node js, databricks, mongodb, mariadb, oracle db, vue js, sql, data, php, react |
Automated machine learning pipelines on AWS to reduce customer churn using Step functions, Glue, Spark SQL, PowerBI, QuickSight, Athena, S3, Data Catalog, Crawlers, ECR, SageMaker, Secret Manager, SNS, SQL, and Python. Deployed final solution using CICD pipelines with AWS CDK as IaC. | 0Data Engineer
| hql, apache spark, tableau, rest api, databases, spark, hive, cloud sql, python, powerbi, aws athena, aws emr, ml frameworks, sap analytics cloud, aws glue, planning, sap hana, sql, aws eventbridge, dynamodb, visualization, aws cdk, sap, go, ibm, bash, aws sns, tableau prep builder, aws cloudwatch, power bi, microsoft excel, aws sdk, mysql, aws quicksight, aws, aws ecr, apache hive, aws step functions, aws redshift, sagemaker, aws s3, ap business application studio, data |
Developed an stochastic event simulation using Python to estimate and optimize fleet utilization, allocation and bookings to maximize profit for a MaaS platform using a Dashboard built in Dash. | 2Data Scientist
| 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 |
Developed and deployed a model to predict the cost potential procedures per patient for a health insurance institution. Tried model deployment using Sagemaker endpoints and FastAPI, and finally implemented a FastAPI exposed in an EC2 Instance. | 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 |
Created dashboards in Power BI to track and monitor project requirements and activities. | 1Data Analyst
| qlikview, teradata, apache spark, oracle, tableau, databases, pandas, powerquery, dax, apache hadoop, python, powerbi, alation, miro, snowflake, microsoft project, seaborn, databricksvisualization, sql, microsoft visio, trello, ibm, tensorflow, domo, netezza, r, bash, collaboration, power bi, microsoft excel, matplotlib, asana, linux, plotly, c, databricks, ggplot2, shell scripts, redash, dash, google data studio, data, jira, leadership |
Developed a Power BI dashboard for data-driven decisions related to law enforcement and social impact, providing valuable insights to stakeholder. | 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 |
Defined business metrics and created automated processes to calculate and visualize them. | 1Data Analyst
| numpy, apache spark, tableau, databases, pandas, spark, analysis, javascript, vue.js and django., anomaly detection, cloud sql, python, powerbi, programming, rds, time series, cloud, ml frameworks, jupyter, automated processes, operational performance, monitoring dashboards, sql server and, mongodb, bi tools, and sql, web app, sql, data analysis, visualization, business metrics, django, and javascript., aws ec2, sql server, azure ml, streamlit, supervised learning, vue.js, data lakes, postgresql, azure, matlab, azure synapse, power bi, cloud computing, matplotlib, mysql, aws rds, data warehouses, and aws, fastapi, plotly, java, sqlite, aws, statistical methods, ai, azure sql, jupyter notebook, machine learning algorithms, data cleaning, development, aws s3, data, power bi desktop, tableau and plotly dash. |
Developed database layer and application logic layer for a talent management web application. | 3Machine Learning Engineer
| api gateway, apache spark, aws elastic beanstalk, spark, apache cassandra, python, github, gcp, huggingface, time series, node.js, mongodb, stata, nodejs, apache airflow, elasticsearch, aws api gateway, mlflow, aws ec2, tensorflow, xgboost, r, ml tools, nlp, postgresql, docker, aws ecs, cassandra, latex, mysql, fastapi, aws, aws ecr, typescript, aws s3 data, aws redshift, scikit-learn, airflow, aws s3, scikit learn, computer vision |
Designed and implemented a data project directly generating data for a core product feature using Redshift, Python, DBT, Airflow and GitHub Actions for a Collaborative Intelligence Company. | 0Data Engineer
| apache spark, kafka, apache kafka, circleci, spark, hive, javascript, kubernetes, f, apache hadoop, python, github, gcp, aws athena, aws emr, azure data factory, prestosql, snowflake, aws glue, apache airflow, splunk, sql, dynamodb, c++, nexla, aws ec2, ibm, google cloud storage, google bigquery, sparksql, postgresql, terraform, azure, matlab, pyspark, java, aws, c, apache hive, azure sql, databricks, google cloud storagedata, octave, aws redshift, dbt, airflow, aws s3, presto, grafana, github actions, hadoop, aws kinesis, redshift |
Developed a POC project on Spline, an open-source data Lineage Tracking solution for data processing frameworks like Apache Spark. | 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 |
Implemented an ELT automated pipeline using AWS cloud services to create a Data Warehouse for a music-tech startup. The goal was to extract information from an API data source and perform transformations over the data to help the company to determine music trends, elaborate marketing plans and tours. | 0Data Engineer
| other |
Developed a loan default prediction model applying random forest, neural networks and XGBoost models, and using Airflow for data collection and model ingestion. Designed an ETL pipeline to download, transform and transfer data for feature engineering purposes. | 3Machine Learning Engineer
| aws ec2, tensorflow, xgboost, ml tools, streamlit, transformers, databases, pandas, bash, nlp, python, docker, git, aws ecs, decision making, nltk, aws rds, fastapi, aws, node.js, snowflake, mongodb, nodejs, seaborn, scikit-learn, apache airflow, aws s3, sql, data, mlflow, aws lambda |
Something nice that this person worked on | 0Data Engineer
| other |
Implemented the installation of products in the clients warehouse. | 4Software 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 Python library to add thumbnails to real estate images for showcasing them on the companys marketplace and built a pipeline using Databricks on AWS with PySpark to run the library across all internal images. | 4Software 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 |
Researched, tested, and compared multiple state of the art models that focused on applying NLP to protein sequences, and which would return embeddingsrepresentations that could be fed to other machine learning tasks. | 2Data Scientist
| pytorch, numpy, apache activemq, apache spark, oracle, rest api, databases, pandas, spark, jenkins, javascript, comet, kubernetes, apache cassandra, python, aws emr, angular, ml frameworks, snowflake, seaborn, spring, sql, kerasturner, elasticsearch, visualization, django, kerastuner, bokeh, tensorflow, nlp, azure, docker, matplotlib, hibernate orm, decision making, mysql, linux, java, aws, oracle database, typescript, azure sql, jupyter notebook, triton, scikit-learn, aws sqs, redis, aws s3, data, scikit learn |
Developed ETL routines using PySpark, SQL, and Hadoop to streamline data processing and integration for the bank’s data engineering team, resulting in a 25% reduction in data processing time. | 0Data Engineer
| apache spark, kafka, hdfs, tableau, apache kafka, confluence, bitbucket, pandas, databases, spark, jenkins, hive, apache hadoop, python, git, powerbi, pentaho, github, gcp, aws emr, azure data factory, mongodb, apache airflow, apache impala, scala, sql, visualization, neo4j, sap, ibm, tensorflow, hbase, sql server, bash, postgresql, collaboration, sql server integration services, terraform, azure, pyspark, power bi, cloudera, decision making, mysql, linux, aws, apache hive, accountability, azure sql, databricks, aws redshift, data management, dbt, azure cosmos, impala, airflow, rpa, data, jira, hadoop, azure data lake |
Created dashboards and analyses for various teams using SQL. | 1Data Analyst
| data and visualization, r, dataflow, bash, postgresql, css, javascript, collaboration, looker, python, power bi, powerbi, data modeling, decision making, mysql, java, aws, sqlite, html, aws redshift, vba, cron, sql, appscript |
Analyzing, designing, developing and implementing big data solutions and applications using Spark, HDFS, Jenkins, Bitbucket, Artifactory, CICD. | 0Data Engineer
| other |
Created custom Python scripts for usage on Matillion components. | 0Data Engineer
| , numpy, universidad cenfotec san josé, grpc, powershell., intelsoftware and automation engineer jan 2015, kubernetes, costa rica, gcp, apache maven, matillion, node.js, snowflake, sql, bamboo, c++, django, hewlett packard enterprisesoftware support engineer nov 2016, tensorflow, google cloud storage, centos, postgresql, aws eks, docker, along with a deep understanding of compiler and interpreter to optimize execution time., collected data from restful apis or sql databases with entityframework., fastapi, linux, mssql, scikit-learn, aws sqs, hadoop, views, php, apache spark, aws elastic beanstalk, hdfs, data warehouse, pandas, spark, atlassian bamboo, apache hadoop, python, troubleshooted issues on the, designed database using tables, infrastructure and deployment automation, created and deployed powershell scripts for production saving, rabbitmq., ms sql server, mongodb, and stored procedure creations., nodejs, apache airflow, tornado
data structure solutions, spring, programming languages and other, laravel, elasticsearch, celery, go, sql server, gcp bigquery, bash, powershell, aws sns, relational and non-relational, required a strong understanding of underlying architecture and microarchitecture on cpus and gpus, worked with linux foundation on rhel, pyspark, and ubuntu server., symfony, mysql, aws rds, education, aws, java, ai, data management, flask, redis, aws s3, bsc. degree on computer software engineering 2016 - 2019, laravel lumen |
Improved a classification models performance for a retail business that predicted if an item would violate company policies and optimized its retrain-deploy cycle. | 2Data Scientist
| statistics, aws, ml frameworks, tensorflow, tableau, databases, nlp, postgresql, sql, python, data, visualization, prioritization, pending, mysql |
Developed and deployed an end to end NLP assistant that helps users write better questions in online forums e.g., Stack Overflow questions, using fine tuned distilBERT and RoBERTa transformer architectures. | 2Data Scientist
| api gateway, numpy, generated automatic visualizations and reports using plotly, performed geospatial analysis on time dependent data using numpy, eafit university, developed a loan default prediction model using xgboost and catboost models, deep learning specialization, aws emr, and geopandas., seaborn, data and deployment specialization, pinecone, keras, langchain, sql, bsc, tensorflow, microsoft word, geospatial analysis, postgresql, data engineer nanodegree, engineering science, research consultant, terraform, matlab, docker, aws ecs, matplotlib, and serving the explained predictions through a dockerized api., fastapi, catboost, golang, applying an explainability framework, consulting analyst, north university oct 2020, aws redshift, scikit-learn, stack overflow questions, s3, which allowed for real-time predictions., github actions, eafit university march 2020, databases, labview, aws ecr, created data-driven models describing the space-time connections of a public water supply system., python, implemented etl pipelines for data ingestion pulling data from row formats and a data lake., github, matplotlib., ml frameworks, analyzed the activity patterns of a nationwide online course and its correlation with students grades., mongodb, using fine tuned distilbert and roberta transformer architectures., apache airflow, qdrant, mechanical engineering, visualization, mlflow, provided feedback on the course content and its impact on students performance., llms, githubdeveloped and deployed an end to end nlp assistant that helps users write better questions in online forums e.g., aws lambda, aws ec2, aws fargate, go, domo, xgboost, transformers, streamlit, bash, nlp, scrapy, created two one-stage object detectors using both the yolov4 model and retinanet fpn. these models were served through a dockerized api deployed in aws ecs, mysql, education, plotly, aws, aws ecr, redis, airflow, aws s3, data, scikit learn, computer vision |
Managed to speed up by 20x on the actual video conversion inside the companys web service by making proper use of FFmpeg and some minor JS optimizations for a media transcription service focused on legal systems. | 3Machine Learning Engineer
| apache spark, kafka, apache kafka, databases, spark, javascript, kubernetes, python, git, gcp, aws emr, gitlab, ml frameworks, aws glue, apache airflow, keras, sql, dynamodb, c++, aws lambda, aws ec2, go, tensorflow, apache iceberg, ownership, postgresql, terraform, pyspark, docker, linux, aws, nginx, c, unix, raspberry pi, databricks, aws redshift, flask, airflow, aws s3, data, arduino, delta lake |
Created, modified and maintained Big Data Apache Spark jobs and data pipelines using AWS EMR, AWS S3, and DynamoDB, which run in Amazon AWS services to handle huge amounts of data for the main product of an advertising agency. | 0Data Engineer
| orientdb.data, apache spark, kafka, oracle, rest api, apache kafka, databases, pandas, css, jenkins, javascript, heroku, apache hadoop, python, gcp, aws emr, ml frameworks, javascript., html, node.js, aws emr., mongodb, tableau., apache airflow, akka., spring, openshift., scala, elasticsearch, dynamodb, visualization, kibana, aws ec2, lucene, hibernate, postgresql, pyspark, mysql, statistics, java, aws, pandas., flask, airflow, aws s3, s3, jira, aws kinesis, react |
Designed and implemented business processes. | 1Data Analyst
| other |
Created a BI project using Athena, Python, Glue, AWS and Quicksight to make data from more than 500 clients more accessible and easier to handle for the sales team of a payroll loan promoter company in Brazil. | 0Data Engineer
| fargate, numpy, apache spark, kafka, cloudwatch, tableau, apache kafka, eventbridge, databases, pandas, julia, dax, spark, javascript, python, git, powerbi, pentaho, github, selenium, rds, aws athena, aws emr, gitlab, secrets manager, aws glue, glue, apache airflow, planning, scala, sql, aws eventbridge, dynamodb, visualization, postgres, prioritization, aws lambda, aws ec2, sap, r, step functions, quicksight, elasticache, postgresql, iam, terraform, azure, pyspark, aws cloudwatch, docker, aws ecs, aws iam, matplotlib, decision making, aws rds, aws, java, aws ecr, apache beam, azure sql, databricks, aws redshift, dbt, airflow, aws s3, rpa, data, s3, github actions, emr |
Developed production data pipelines using Spark to extract, transform, and load data into tables and views in Delta Lake on Databricks. Simplified data ingestion and incremental change propagation using Databricks-native features and syntax, including Delta Live Tables. | 0Data Engineer
| apache spark, databases, css, python, git, powerbi, github, data modeling, aws emr, html, snowflake, delta lake, aws glue, apache airflow, splunk, sql, shell, dynamodb, aws lambda, aws ec2, aws dynamodb, sigma, r, postgresql, aws sns, terraform, azure, matlab, pyspark, docker, latex, azure devops, aws rds, aws, sqlite, aws step functions, azure sql, databricks, aws redshift, dbt, shell scripts, aws s3, data, github actions, aws kinesis, delta live tables |
Built microservices using GoPython, PostgreSQL, and Docker, with continuous integration (CI) on Jenkins and GitLab. | 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 |
Designed and built the initial data architecture for a sports app Using S3, Lambda, Step Functions, Dynamo, Elasticsearch, Python, RedShift, and OpenSearch by identifying and analyzing which data sources to include. Resulting in faster updates for the ranking and a data structure that allowed it. | 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 |
Designed and built an MVP for a fintech B2B debt automation software using Java and AWS services, including SQS and SNS for efficient messaging. The solution adopted an event-driven architecture, ensuring smooth communication and seamless integration between components. Terraform was also used for Infrastructure as Code (IaC) to provision and manage the AWS resources. | 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 |
Migrated a credit card system to a new architecture, improving reliability and responsiveness. | 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 |
Maintained various components of an electronic billing software company. | 4Software Engineer
| other |
Developed backend engineer products using Python, Flask, MongoDB, and MySQL, helping to see the information of the data pipeline execution metrics in a better way easy and understandable for the operations sector. | 0Data Engineer
| orientdb.data, apache spark, kafka, oracle, rest api, apache kafka, databases, pandas, css, jenkins, javascript, heroku, apache hadoop, python, gcp, aws emr, ml frameworks, javascript., html, node.js, aws emr., mongodb, tableau., apache airflow, akka., spring, openshift., scala, elasticsearch, dynamodb, visualization, kibana, aws ec2, lucene, hibernate, postgresql, pyspark, mysql, statistics, java, aws, pandas., flask, airflow, aws s3, s3, jira, aws kinesis, react |
Developed an end-to-end machine learning pipeline, including Entonces con esa herramienta entrené 4900 modelos para RPM y volumen. Con esa herramienta tambien hacemos la inferencia y la inferencia las guardamos en tanto BigQuery como en Snowflake. Antes usaban FBProphet para el forecasting pero con esta herramienta sacamos un mejor fit y menor tiempo de entrenamiento. | 3Machine Learning Engineer
| pytorch, numpy, databases, pandas, jenkins, kubernetes, python, git, gcp, data modeling, snowflake, seaborn, google big query, apache airflow, keras, sql, visualization, mlflow, tensorflow, xgboost, google bigquery, bash, nlp, facebook prophet, terraform, azure, pyspark, docker, ml flow, matplotlib, fastapi, aws ml, java, aws, azure sql, scikit-learn, flask, airflow, data, jira, computer vision |
Supported the Data Science team of Colombia’s Top 3 bank composed of 2 other Data Scientists. | 2Data Scientist
| pytorch, statistics, tensorflow, xgboost, oracle, google bigquery, r, ownership, ml, stata, eview, planning, sql, python, data, gcp, latex, time series |
Researched and mentored teams in the implementation of new tools and technologies such as AWS, Airflow, and DBT. | 0Data Engineer
| web scraping, kafka, aws certified developer - associate., apache kafka, data warehouse, databases, lambda, several articles written around data warehousing, python, git, pipelines and more., programming, rds, cloud infrastructure, aws emr, cloud, ml frameworks, ec2, etl, and meltano., ml, and r., aws glue, glue, apache airflow, excel, keras, data-driven, apache impala, sql, data analysis, aws certified solutions architect - associate., dynamodb, visualization, optical character recognition, batch, aws ec2, tensorflow, data governance, bash, data pipelines, nlp, analyzed data, tensorflow and keras., pyspark, flask., machine learning, docker, microsoft excel, other, fraud detection, technical writer, professional development, automated reporting, aws rds, data architectures, data infrastructures, metabase., aws, financial services, aws ecr, ai, aws redshift, aws data stack, sagemaker, dbt, flask, impala, airflow, aws s3, data, redshift, emr |
Automated data Key Performance Indicators (KPIs) for reporting and auditing artifacts, improving data monitoring and ensuring accuracy in performance measurement. | 1Data Analyst
| numpy, c#, oracle, tableau, confluence, databases, pandas, jenkins, hive, javascript, apache hadoop, python, git, powerbi, github, pentaho, sql serveranalysisservices, cronjobs, aws athena, jupyternotebooks, ml frameworks, azure data factory, mongodb, apache avro, nosql, sql, elasticsearch, visualization, django, aws lambda, neo4j, aws ec2, sql server, r, ownership, postgresql, azure functions, azure, docker, decision making, mysql, linux, aws, java, apache parquet., apache hive, azure sql, databricks, scikit-learn, flask, data, jira, github actions, hadoop, delta lake |
Generated a segmentation of the clients with K-Means on Python with Azure Databricks and Azure SQL Databases, based on size, value, and severity of accidents suffered in the company, for better-focused campaigns | 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 |
Defined and wrote a set of data quality checks such as stability through time, null, freshness, row count, domain checks, and others, using Soda to ensure data integrity in all data objects. | 0Data Engineer
| hyperopt, lightgbm, apache spark, kafka, tableau, oracle, apache kafka, hdfs, databases, pandas, spark, apache hadoop, python, git, powerbi, gitlab, ml frameworks, matillion, tfx, sphinx, snowflake, mongodb, dbschema, soda, apache airflow, keras, tensorflow serving, sql, visualization, django, aws ec2, tensorflow, xgboost, google bigquery, sql server, r, postgresql, azure, pyspark, docker, decision making, azure devops, mysql, statistics, java, aws, opencv, azure sql, aws redshift, scikit-learn, flask, airflow, scipy, data, hadoop, computer vision |
Trained new engineers and analysts through the Compass.uol Data & Analytics Scholarship Program. Totaling over 50 new interns in groups of approximately 10 to 15 engineers, various materials and study paths were prepared for their development in data engineering. Technologies and tools such as AWS, Databricks, Python, Scala, PowerBI, and Advanced SQL were used. | 0Data Engineer
| apache spark, kafka, apache kafka, databases, pandas, spark, javascript, python, git, powerbi, react native, aws athena, aws emr, azure data factory, prestosql, snowflake, mongodb, aws sdk for python (boto3), aws glue, glue, apache airflow, scala, sql, dynamodb, visualization, metabase, aws ec2, sap, ibm, nlp, postgresql, azure, aws cloudwatch, decision making, azure devops, aws quicksight, java, aws, typescript, databricks, azure sql, jupyter notebook, aws redshift, dbt, aws sqs, airflow, aws s3, presto, data, react |
Built data mart using Dbt leveraging on data transformation (ELT) and test check tools to have a single source of truth for the payments team of a US-based fintech. | 1Data Analyst
| spacy, python and power query helping to reduce processing times and providing quality in data visualizations., powerquery, and integrated a data model for the companys general budget using google sheets leveraging cloud functions and dataset connections., microsoft office, looker, powerbi, supported the implementation of the erp of the company with data transformation and data migration using excel and vba macros achieving to pass from 5 different systems to an unique enterprise system., neural networks, algorithms, azure data factory, snowflake, financial analyst, tableau desktop, nosql, urbanas, sql, provided indicators to the sales force through specialized reports using looker studio and sac for daily operations monitoring., transformed data and created models for analysis with tools such as sql, foundations, sap, finance, finance., and strategy for decision-making of a micro-financial organization achieving to create important products such as bonus calculation tool, advanced, postgresql, azure, machine learning, power bi, microsoft excel, decision making, databricks data analyst associate certification, and presented dashboards to the executive team., performed financial analysis and supported business cases for initiatives and new projects., led the business intelligence team and created, databricks, created and managed sales and financial forecasting tools., to generate findings in satisfaction surveys for the customer journey team., hr, supported, created specialized tools in excel and vba macros to support daily operations in different company departments such as cost, among other things., specialization, tableau, developed an etl workflow using python, managed, pandas, business administration, customer journey analytical tool, process analyst, cloud sql, fundación de la mujer, python, sac, applied machine, sap analytics cloud, leveraging api data extraction and text processing libraries, looker studio, vba, pandasvisualization, artificial intelligence, implemented reports for strategic analysis and monitoring kpis using business objects and looker studio., bi lead, google sheets, built operational dashboards using power bi leveraging on report tables and trend charts to provide the status and details of all the orders to the purchase department, santander university, intermediate level, python databases, sql server, nlp, created, education, marketing, azure sql, human resources, budget tracking and forecasting tools for each branch office and management team, dbt, data, implemented an etl pipeline using azure data factory, created interactive dashboard for a project using databricks leveraging on data transformation to gain some insights into the purchasing behavior of a households dataset, basic aspects, leveraging azure storage to create report tables for analysis from raw data. |
Developed serverless, scalable and robust data lake using Python, Github, Terraform, SQL and modern data stack including Airflow, Great Expectations, Spark and AWS Services (Lambda, S3, Redshift, Athena, Glue, EMR, DynamoDb, Cloudwatch, IAM, RDS) to migrate data from standard data warehouses. This allowed the bank to improve data processing time from months to weeks, even making it available in near real-time for some scenarios, which enabled the management team to improve business decisions making. | 0Data Engineer
| other |
Developed an API for efficient search and retrieval of related retail products based on keyword analysis, using the Databricks Lakehouse Platform to store and preprocess the raw product data, then leveraging a Langchain interface in conjunction with a pre-trained model (all-MiniLM-L6-v2) and using Chroma as the Vector DB to store and process embedded product descriptions. | 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 |
Represent the analytical front for projects for the Ecommerce and MTO channels, with a focus and vision on the adoption of digital beauty tools such as the Virtual Makeup Artist, and SkinAdvisor. | 1Data Analyst
| other |
Responsible for lending models development for a credit card fintech. | 5Analytics Engineer
| other |
Eyeson (2019 - 2020): | 5Analytics Engineer
| tensorflow, oracle, sql server, databases, powershell, css, azure, microsoft office, tensor flow, apache hadoop, python, cloud sql, powerbi, data modeling, azure devops, knime, google cloud, ml frameworks, html, azure data factory, azure sql, snowflake, jupyter notebook, keras, t-sql, sql, data, visualization |
Designed ETL process for a computer vision solution in TensorFlow that acquired 100lk unique images serialized as TF.Records. The solution included a TensorFlow trained object detection model deployed on AWS Lambda, and a simple web app built on Streamlit for image uploading. | 3Machine Learning Engineer
| pytorch, gcp cloud functions, numpy, apache spark, jupyter notebooks, tableau, pandas, apache cassandra, python, git, github, gcp, huggingface, gcp cloud run, google compute engine, snowflake, dvc, google big query, apache airflow, keras, nosql, scala, sql, aws api gateway, mlflow, fast, aws lambda, aws ec2, aws fargate, go, tensorflow, google cloud storage, google bigquery, ml tools, streamlit, bash, postgresql, pyspark, docker, aws ecs, design patterns, fastapi, aws, java, aws ecr, databricks, jupyter notebook, aws redshift, scikit-learn, shell scripts, tf object detection api, flask, airflow, aws s3, dash, data, github actions, computer vision |
Successfully extracted critical data from Soundcharts API using AWS EventBridge and Lambda functions for data-driven insights. | 0Data Engineer
| apache spark, tableau, databases, pandas, postgresql, collaboration, jinja, azure, looker, python, git, powerbi, aws ecs, matplotlib, decision making, azure devops, aws, ml frameworks, azure data factory, databricks, snowflake, dbt, aws sqs, aws s3, aws eventbridge, data, dynamodb, visualization, airbyte, metabase |
Worked on collecting and processing data using custom tools built on Python and VBA. | 1Data Analyst
| processing data, redux, databases, ios, bootstrap, javascript, activerecords., python, programming, angular, business model, ml frameworks, node.js, mongodb, d3.js., vba, reactjs, react, data-driven, manual work, ruby on rails, visualization, css3, express.js, content strategy, mobile apps, corporate accounting, data visualization, sass, postgresql, marketing mix modeling, less, marketing mix, microsoft excel, vba excel, mysql, ai, video analysis, firebase, d3.js, scikit-learn, android, data, html5, ruby, statistical model |
Designed and built microservices and scalable data pipelines to support Near-Real Time Stream processing (up to 260K eventssec) and batch processing with Apache Spark, Apache Beam, Hadoop to create a KnowledgeIdentity Graph that allowed for a 360-degree view of the users for the largest TV Broadcast company in Latin America. | 0Data 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 |
Developed an online civic course using React, Electron, Tensorflow, FastAPI, Docker, and AWS API Gateway, DynamoDB and EC2 for people with penalties registered by Colombian Police. | 3Machine Learning Engineer
| awsfargate, pytorch, api gateway, informix, numpy, aws cloudformation, oracle, disvoice, folium, pandas, lambda, javascript, huggingface transformers, python, imb informix, librosa, git, gcp, aws speech api, selenium, huggingface, nltk, angular, librosa disvoice, ml frameworks, linux bash, tfx, node.js, sphinx, mongodb, aws glue, dvc, seaborn, nodejs, spring, bigquery, sql, aws api gateway, aws sagemaker, dynamodb, visualization, postgres, django, spring boot, aws ec2, aws dynamodb, ibm, tensorflow, google vertexai, microsoft word, bash, nlp, postgresql, aws aurora, terraform, pyspark, docker, matplotlib, mysql, fastapi, linux, plotly, java, aws, opencv, geoplotlib, sagemaker, scikit-learn, flask, aws s3, scipy, data, pytest, leadership, react |
ETL Developer using Microsoft SSIS, SSAS, and SSRS. | 4Software Engineer
| apache spark, kafka, hdfs, and oozie, apache kafka, databases, dataflow, hive, apache hadoop, python, git, gcp, aws emr, aws athena, ml frameworks, apache and oozie, snowflake, mongodb, aws glue, apache airflow, apache impala, bigquery, scala, sql, visualization, airbyte, aws lambda, aws ec2, db2, sql server, step functions, pyspark, docker, cloudera, aws, java, aws step functions, apache hive, unix, databricks, aws redshift, airflow, and, aws s3, data, hadoop, leadership |