Data Scientist
2020 - 2022CARTO- Implemented spatial statistics and ML algorithms in SQL to run them at scale on cloud data warehouses.
- Developed spatial models for estimating accumulated litter in cities at a granular level.
- Built optimization solutions for vehicle routing and territory management, connected to Google BigQuery as remote functions.
- Designed client spatial indexes, which combined target demographics, POI presence density, and mobility data.
- Identified trends in hotspot areas for retail during the pandemic using human mobility data like origin-destination matrix computation and POI and time series analysis.
- Created ETL processes with Apache Airflow to recurrently ingest spatial data from several data sources into CARTO's platform.
Technologies: Pandas, NumPy, GIS, GeoPandas, Optimization, Pysal, SQL, Docker, Spark, Apache Airflow, Databricks, TensorFlow, Spatial Data Science, Data Analytics, REST APIs, Big Data, JavaScript, Data Visualization, Apache Spark, Predictive Analytics, Data Analysis, Analytics, eCommerce, MarketplacesData Scientist
2019 - 2020ETS Asset Management Factory- Applied state-of-the-art techniques to make more accurate predictions of financial markets' behavior, contributing to the financial advisory firm's primary purpose of making stock market investment recommendations driven by data science.
- Developed a RESTful API that serves synthetic stock series created by generative adversarial networks on demand.
- Put into production a novel deep learning portfolio investment strategy and deployed it to internal servers to automate portfolio recommendations.
Technologies: Time Series Analysis, Generative Adversarial Networks (GANs), APIs, Flask, Jenkins, Data Analytics, REST APIs, Data Analysis, Natural Language Processing (NLP), AnalyticsData Analyst
2019 - 2019Seedtag- Developed a funnel for the company's video advertising campaigns which helped gain insights into the adequate progress of the business.
- Built ETL processes that aggregated data periodically from ads stored in a MongoDB database and displayed the current state of the ad flow in a dashboard.
- Assisted the CEO in preparing the company's next funding round by analyzing revenue and client fidelity.
Technologies: MongoDB, SQL, Python, Google Sheets, Data Analytics, Data Analysis, Analytics, eCommerce, Business Analysis