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0Data Engineer
| Designed ETL tools and data warehouses using IBM Datastage and Microsoft SQL Server Integration Services for different banking clients in Colombia. |
1Machine Learning Engineer
| Created a default prediction model using tabular data, over 1.5 million samples, and 100+ features using classical ML techniques and training classification models. Techniques included random forest, support vector machines, gradient boosting (Catboost library), and neural networks. |
0Data Engineer
| Wrote a plugin for the Odoo platform to centralize and synchronize product stock with Mercadolibre. |
0Data Engineer
| Consumed and transformed data to produce aggregated statistics, store data and create real-time dashboards using Python, AWS Kinesis, AWS S3 and Splunk. |
3Data Scientist
| Audited IT risk control on XM, SARC, and 20F for companies in different fields in Colombia. |
1Machine Learning Engineer
| Set up a experiment tracking and CICD pipeline for a classification task using MLflow and GitHub Actions to log metrics and artifacts of trained models and to automatically wrap them in a FastAPI application, run unit tests on the endpoints, build a docker image of the application, push the image to AWS ECR, and deploy the application using AWS API Gateway and AWS Lambda. Used DVC and AWS S3 to manage the data used to train the model. |
5Analytics Engineer
| Created cash flow projections for budgeting control. |
2Data Analyst
| Designed and developed dynamic dashboards in Power BI, supported in SQL, to allow business intelligence. |
0Data Engineer
| Deployed ETL quality check scripts on Python to check data quality issues over ingested tables for a precision drilling company |
2Data Analyst
| Performed simulations and analysis based on theoretical modeling using Mathematica and Python (Scipy, Matplotlib, Numpy, Plotly, Bokeh) to describe physical phenomena on metallic bidimensional systems when a spin current is applied by means of implementing mathematical models as part of a research project. |
1Machine Learning Engineer
| Used R and Python to analyze time series and test goodness of fit for evaluating Santo Domingo building’s capacity by studying the movements and dynamics of vertical circulation. Analyzed time series and tested goodness of fit using R and Python to evaluate Santo Domingos architectural infrastructure capacity by studying the movements and dynamics of vertical circulation FOR WHOM |
1Machine Learning Engineer
| Analyzed and merged daily activity of GPS users with Bogota open shapefiles using Python (GeoPandas) to measure travelers behavior. Analyzed travelers’ behavior in specific zone in Bogota using their GPS data and merged it with city shapefiles using Python (GeoPandas) to measure the impact of a new metro system in specific times |
4MLOps
| Developed monitoring strategies on ML applications for operational and ML-related issues. |
0Data Engineer
| Implemented CICD pipelines to automate infrastructure deployment using Github Actions, Unit Testing and Terraform. |
0Data Engineer
| Architected data pipeline solutions. |
1Machine Learning Engineer
| Deployed models in production for batch and online inferences over Google Cloud Platform. |
2Data Analyst
| Prepared data for descriptive and predictive analysis. |
0Data Engineer
| Data Architecting and Engineering for Univision network, using GCP tools such as Composer, Dataflow, and Pubsub. |
0Data Engineer
| Designed, planned and implemented a Unified Glober Profile (UGP) project architecture using Hdfs, Yarn, Hive, Presto, Airflow, Ranger, Hue, and Zeppelin to provide unified and centralized glober data to all different augmented teams allowing better decisions based on reliable and trust data for a Software Development company. |
0Data Engineer
| Developed the user subscription service and tested it in one of the company’s regions. |
4MLOps
| Using Java related technologies, i was asked to design and build tools to improve citizens relationship |
0Data Engineer
| Built an application dedicated to improving clients’ revenue by providing monthly suggestions based on drivers including costs and customer flows, using Python, Spark, Databricks, Cookiecutter, Flake8, Black, and Mypy. |
3Data Scientist
| Developed a model to predict difficulties in the execution of royalty investment projects that enabled early failures detection upon project formulation, follow-up and executing entities prioritization and resources optimization. Used random forest models to classify structured data and text preprocessing algorithms, like doc2vec, to extract information from text data. |
0Data Engineer
| Planned and designed migration plan from Datastax Spark & Cassandra to Azure Databricks and Azure CosmosDB in order to save 50% of operational expenses. |
0Data Engineer
| Develop and maintain data pipelines for datawarehouse on premise and cloud Technologies : MongoDB, memsql, aws, redshift, s3, pentaho, spoon, lambda |
0Data Engineer
| Led the architecture and development of Big Data, data science, and data engineering projects, architecting on-premises and cloud solutions with cloud and open-source tools. |
2Data Analyst
| Led a global initiative to implement a consumer journey, competitive data and people-based precision marketing and insights platform designed to identify and define personalized consumer experiences at scale. |
2Data Analyst
| Prepared and dictated a class of applied probability and statistics in SPSS and Stata packages. |
0Data Engineer
| Designed and developed Random Controlled Trials to measure the impact of implemented segmentation models on customers’ behavior. |
0Data Engineer
| Developed a pipeline to extract data from both RDS (PostgreSQL )and S3 to create a dimensional model in AWS Redshift using Python, Apache Airflow on AWS EC2, AWS Glue, Apache Spark, DBT, and SQL. |
0Data Engineer
| Designed and built a data warehouse using DBT and SQL, with modular and Kimball data modeling techniques. |
3Data Scientist
| Managed Linux and Oracle servers for Flypass a digital tolls platform. |
1Machine Learning Engineer
| Utilized AWS SNS and AWS Event Bridge to publish notifications to users when drift is detected |
0Data Engineer
| Developed Oracle databases and configured Oracle and SQL Server database objects and structures, creating processes for the integration of distributed databases, improving overall data processing and analysis. |
3Data Scientist
| Reported writing and preparation of academic publications with the obtained results. |
0Data Engineer
| Implemented data processing jobs to move data between data lake zones using Python, AWS Glue, and Apache Spark |
1Machine Learning Engineer
| Teacher of blockchain open courses in the Department of Economics at Universidad Nacional de Colombia, Bogotá. |
0Data Engineer
| Led specialized consulting to create and improve data management solutions (migration, quality and governance) and landscape transformations of SAP systems due to organizational changes for different business in the health, massive transportation, retail, financial among other industries. |
0Data Engineer
| Automated infrastructure deployment for CICD using GitHub Actions and Terraform. |
0Data Engineer
| Provided document feedback to HR. |
1Machine Learning Engineer
| Deployed an interactive dashboard to show the results of the model for anomaly detection. |
0Data Engineer
| 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
| Implemented APIs to connect databases for dashboards using AWS API Gateway Service with endpoints made with Lambda to process requests as a serverless approach. |
0Data Engineer
| Designed and implemented a monitoring dashboard in PowerBI to compare clients’ churn and determine correlations between the competitors’ device prices. |
3Data Scientist
| Worked on numerous projects using 3D sensors, machine learning, and computer vision. |
0Data Engineer
| Implemented CICD pipelines to automate infrastructure deployment using GitHub Action and Terraform. |
1Machine Learning Engineer
| Designed and implemented a task scheduler in Python that supports multiple operating systems to be used with a web interface and an API. This scheduler was built to make it easier to automate all recurring tasks in the analytics area for a traffic enforcement systems provider. |
1Machine Learning Engineer
| Used active learning (with the help of Peru prosecutors) and weak learning methods (so called lambda functions) in order to label the data and subsequently built machine learning models such as regression forest, logistic regressions, among others. Models results were contrasted by prosecutors assessment. |
1Machine Learning Engineer
| Collaborated with teams to develop models for customer retention and product recommendation. |
2Data Analyst
| Planned, designed, developed and directed all the lab practices. |
4MLOps
| migration plan to an upper version, where the bug was fixed. |
0Data Engineer
| Developed Kafka pipeline on Databricks to leverage Schema registry for schema lineage and evolution; allowing schema changes tracking for a health care provider. |
2Data Analyst
| Generated multiple data analytics tools using MS Excel, MS SQL Server, RRStudio and PowerPoint to control and evaluate client’s retention and fidelization strategy in the B2C segment of a multinational telecommunications company: Loyalty and retention indicator tracking dashboard, retention matrix for high-value customers and re-estimation and evaluation of the Churn prediction model. Identify insights and initiatives that led to a significant improvement of the country’s prepaid Retention (churn rate ~1.23% in 2020, 2nd of Hispam countries). |
3Data Scientist
| Designed ETL pipelines using SPSS to extract data from large databases. |
2Data Analyst
| Implemented and monitored email marketing automation with SAS using optimization operations research techniques to reduce the email frequency from weekly to daily, and effectively allocate the marketing budget of a financing company, specialized in the retail sector, part of Colombia’s biggest financial group. |
2Data Analyst
| Collaborated in multiple projects related to fraud, payments, compliance, new product development, customer journey management with different areas of a fintech company. |
1Machine Learning Engineer
| Analyzed and processed large volume dataset of images (TBs) from whole mice brains using Python and ImageJ, taken with 2-photon microscopy, for comparison between healthy and stroke-induced brains. |
0Data Engineer
| Built an ETL pipeline using AWS GlueSpark for pulling and transforming RDS data into and S3 data-lake for storage. AWS Redshift and DBT were used to model the data following Kimball’s technique and serve the data in a data warehouse for analytical purposes. The whole process was orchestrated using Airflow. |
3Data Scientist
| Deployed models, ML pipelines, experiments, and containers in AzureML. |
0Data Engineer
| Participated as a mentor in the "data citizen" project. Guided financial analysts in best practices for using and presenting their data and assisted in transition from Google Sheets to dashboards in the Domo BI tool. |
1Machine Learning Engineer
| Developed an internal library to easily add support for model tracking using an MLFlow server deployed by me, that centralized the training and evaluation information to the team for easy progress visualization and decision making based on the results. |
0Data Engineer
| Created a database for a serverless web application that allowed patients to track doctors’ judicial backgrounds. Developed search engine using AWS Lambda and AWS API Gateway that allows to process queries with doctors full name. Used S3 buckets and DynamoDB to store the extracted data. |
3Data Scientist
| Designed alongside data architects the data infrastructure needed to meet BI requirements (mostly data warehousing). Using Teradata, SQL-Server, SQL-Server Integration Services and SQL. |
0Data Engineer
| Automated ofimatic repetitive tasks with Python. |
3Data Scientist
| Trained data analysts and campaign analysts in Python and SQL topics to contribute to their development and career paths. |
3Data Scientist
| Designed a Look-Alike machine learning model by collecting lots of customer data to identify potential customers with a high probability of acquiring a new co-branded credit card through email marketing using Alteryx. |
2Data Analyst
| Co-authored a book about economic development in rural areas of Brazil. Reviewed the text, calculated sampling statistics and spatial analyses and visualizations using Excel and QGIS. |
0Data Engineer
| Integrated Qlik Associative Engine and Python using PySpark, providing business insights and analytics to clients of one of the leading retail management platforms. Clients included European, Asian, and American companies. |
0Data Engineer
| Created dimensional models in Redshift with Python, SQL, DBT, Airflow, Glue, and Spark with data pulled from S3 and RDS. |
0Data Engineer
| Developed front-end and backend functionalities using Fast API and React to integrate Factored’s Continuous Learning Program module to the learning platform being developed by the Product Department. Implemented a solution to deliver static files while authorizing the access using cookies, while guaranteeing internal privacy guidelines and permissions. |
1Machine Learning Engineer
| Deployed ML models in production. |
2Data Analyst
| Analyzed data to find answers to specific business questions. |
1Machine Learning Engineer
| Companies: Accenture (IT), Banco BV (bank), Banco Basa (bank), Delloit, Magazine Luiza (retail), others. |
0Data Engineer
| Mentored data science courses for internal employees in one of the largest oil and gas companies in the world and second-largest in the United States. |
0Data Engineer
| Ensured data quality and enforced rules of completeness, consistency, integrity, etc. according to data governance expectations. |
0Data Engineer
| Led and experimented with migrations to new data warehousing and BI tools. |
2Data Analyst
| Analyzed delivery mens behavior and order tends using SQL to find patterns and create strategies to increase and promote cash payment methods with the delivery men. |
1Machine Learning Engineer
| Cleaned and applied data quality techniques to the data. |
1Machine Learning Engineer
| Design and development of a recommendation engine to categorize products’ names into marketplace categories using classical machine learning classification models and neural network methods. The new recommendation engine reduced clients’ time spent categorizing their products into several marketplaces and improved 9% accuracy over the previous baseline. |
0Data Engineer
| Ingested and processed unstructured social media data using Spark Structured Streaming, and managed Apache Kafka, and Delta Lake for machine learning and business intelligence applications. |
0Data Engineer
| Developed a PoC over Graph-Based Database AWS Neptune. |
1Machine Learning Engineer
| Implemented a simple ETL to extract and combine data from different CSV, SAS, and Parquet files with Pandas and PySpark. Used AWS Redshift to store the transformed data model for analytic queries. Then, tested it with SQL queries. |
1Machine Learning Engineer
| Tools: Azure, AWS, Databricks, Spark, Python, SQL, Sagemaker, EC2, MLFlow, Elasticsearch, MongoDB, SQLServer, PostgreSQL, Git, GitHub. |
2Data Analyst
| Created forecast models using R to predict operating year figures based on historical data stored in flat files and SQL servers; forecasts enhanced accounting and financial planning for IFRS9. |
1Machine Learning Engineer
| Parallelized model inference using multiple GPUs and a Spark cluster. |
2Data Analyst
| Created presentations to share the results of the funds with the different stakeholders. |
1Machine Learning Engineer
| Helped integrate multiple data sources, such as Snowflake and Amazon S3, while engineering new features to the existing ML pipeline, which ran in a dedicated AWS EMR cluster. |
3Data Scientist
| Wrote Python libraries used by fellow data scientists to reduce boilerplate code during NLP data analysis and prototyping (to calculate sentence embeddings with pretrained models, and to calculate information retrieval metrics). |
1Machine Learning Engineer
| Structured R&D team to expand portfolio-services for Latin America high-tech players in security and defense, aeronautics, telecommunications and energy industries. |
3Data Scientist
| Led the design and development of a predictive maintenance model applying machine learning techniques and using autoencoders for anomaly detection to increase production uptime by reducing corrective maintenance for a modern thermoelectric factory in Colombia. |
3Data Scientist
| Redesigned data pipelines using NumPy to vectorize matrix multiplications. New pipelines were deployed using GCP cloud functions and improved data efficiency. |
2Data Analyst
| Generated queries in Snowflake to enable insight and data analysis for the operations teams of a large delivery company in LATAM. Identified stores with the highest cancellation rates. |
1Machine Learning Engineer
| Part of a team of ex-Google engineers that develop a computer vision solution for improving a customers model performance without the need of increasing the size of the data-set used to train such a model. |
2Data Analyst
| Articulated in a standard format multiple data sources (SQL, Snowflake, Excel, Access and flat files) from different regions using ETL flows in Alteryx. |
1Machine Learning Engineer
| Calculated embeddings for the entire dataset and saved in Amazon S3 |
1Machine Learning Engineer
| Implemented hand-written vowel recognition functionalities applying deep learning and the humanoid robot Darwin-OP, and movement recognition and imitation using the humanoid robot DARwIn-OP and Xbox Kinect. |
4MLOps
| data in a very intense batch job. |
2Data Analyst
| Designed structurally a new handle for the refrigerators. |
0Data Engineer
| Learned to set up docker container orchestration and continuous integration for our codebase. |
1Machine Learning Engineer
| Constructed a data processing pipeline using Airflow, Python and NodeJS to prepare and load videos of exercise routines into a data lake on AWS S3. The resulting data was used to train and benchmark ML models and perform exploratory data analysis. |