vCard - Personal Portfolio

About me

I am a Data Scientist at Mercado Libre, specializing in pricing, discounts, and fraud detection. With a background in Industrial Engineering and a Master's focused on Operations Research and Finance, I bring analytical expertise to my work.

As a tech enthusiast, I excel in front-end and back-end development, embracing my role as a full-stack data scientist. With a track record in Machine Learning and Data Engineering projects, I'm currently expanding my tech stack to stay ahead in the evolving tech landscape.

What i'm doing

Data Science

Research and applications of Machine Learning and Artificial Intelligence.
MLOps

Bring Machine Learning models to production with a focus on scalability and reliability.
Web development

High-quality development of sites at the professional level.
Consulting

Digital transformation and data-driven consulting for small businesses.

Clients

Resume

Experience

Ssr Data Scientist - Mercado Libre
Jul 2023 — Present
- Designed a high-performance GO API handling 490K RPM for efficient performance prediction on 400M+ items.
- Built and deployed a pricing strategy with real-time price suggestions for 100M+ items based on AB data.
- Created a website to visualize the key stats, alerts, and pricing strategies related to 200k items with React.
- Used GenAI models to create an app that generates backgrounds for images according to users' requests.
- Applied new rules to alert drastic price changes in real-time for 50k+ items with GO.
- Designed, maintained, and monitored 20+ data pipelines, most of them to improve the item similarity model.
- Gave a lesson to 160+ people about LLM, data manipulation, and deployments on Python with Streamlit.
Data Scientist - Rappi
Jun 2022 — Jul 2023
- Designed and deployed the Identity Fraud Prevention Model for the Rappicard in Colombia and Brazil, increasing the detection of fraud by 40% compared to manual validation. Estimated value of $240k in fraud prevention costs.
- Implemented a fraud model for Rappi’s new savings account, detecting 50% of the possible non-payers.
- Deployed 8+ ML models into production using FastAPI, PostgreSQL, and MongoDB. Designed a flow to inject the dataframes into Snowflake with API and used Snowpark to create Data Pipelines and design simple ML models.
- Proposed, designed, and coordinated a Machine Learning with Graphs course for 35 Data Science workers.
Tutor/Graduate Teaching Assistant (GTA) /Teaching Assistant (TA) - Uniandes
Jan 2020 - Jun 2024
- (Tutor) Machine Learning and NLP - MSc in Data Analytics (MIAD)
- (GTA) Public Systems and Continuous Development
- (TA) Computational Tools for Data Analysis – MSc in Analytical Intelligence for Decision Making
- (TA) Statistical Analysis Models – MSc in Analytical Intelligence for Decision Making
- (TA) Organizational Strategy
- (TA) Freshmen Mentor and Tutor
- (TA) Introduction to Programming

Education

MSc. in Industrial Engineering - University of los Andes
2022 – 2024
- Thesis: Federated learning with Local Differential Privacy on GBDT
- Coursework: Linear Statistical Modeling, Advanced Optimization, Risk Management, Machine Learning, Product Management
Bsc. in Industrial Engineering - University of los Andes
2018 - 2021
- Thesis: Design of a minor in Data Science
- Coursework: Statistics/Probability, Logistics, Financial Modeling, Organizational Strategy, Linear Optimization