Eduardo Rubén Bernal Puente
Data & Analytics Engineer · Data Science student at ITAM
Mexico City, Mexico · eruben.bernal@gmail.com · github.com/rubo6 · linkedin.com/in/eruben-datascience · open.spotify.com/user/d6hedn5s0vafnjx1co5uz8gdb · steamcommunity.com/profiles/76561198854019526
Summary
Data Science student at ITAM with hands-on Data and Analytics Engineering experience in Mercado Libre's Mercado Pago ecosystem. I design ETL/ELT pipelines, BigQuery data models, internal data products and analytical workflows, and I build machine-learning and parallel-computing projects on the side. Strong in SQL, Python, TypeScript/JavaScript, data architecture and cross-functional execution.
Experience
Mercado Libre · Mercado Pago Point · Mexico City
- Design and maintain ETL/ELT pipelines for Mercado Pago Point using advanced SQL, BigQuery and an internal orchestration platform, supporting reliable downstream analytics and operational reporting.
- Contribute to a data-architecture migration to a new backend environment, redesigning producer-consumer flows and data layers while preserving downstream compatibility and data quality.
- Model and validate datasets across warehouse, reporting and operational layers, keeping BigQuery, business dashboards and internal applications consistent.
- Develop an internal data platform with Next.js 16, Firebase Functions, Firestore, BigQuery and Google Sheets integrations to centralize operational workflows and data access.
- Maintain architecture documentation, changelogs and migration handoffs to improve knowledge transfer, reproducibility and continuity across the team.
Education
Universidad Iberoamericana · Mexico City
- Diploma and certificate expected in December 2026.
Instituto Tecnológico Autónomo de México (ITAM) · Mexico City
- Relevant coursework: Machine Learning, Artificial Intelligence, Parallel Computing, Advanced Data Structures, NoSQL Databases, Statistics and Algorithms.
- Academic focus: data engineering, machine learning, computer vision and parallel computing.
Leadership & activities
DataLab ITAM · Mexico City
- Led the technical execution of ECOBOX AI, a computer-vision system for waste classification, coordinating research and implementation within the student community.
- Coordinated research planning, technical documentation and collaboration across student-led data-science initiatives.
- Applied Python, SQL, machine learning and data analysis to projects with social and sustainability impact.
AIESEC ITAM · Mexico City
- Led a three-member team across the attraction-to-realization pipeline, setting priorities, tracking KPIs and running recurring 1:1 follow-ups.
- Coordinated outreach campaigns and communication with international stakeholders in English.
- Supported nine international volunteer realizations and improved follow-up across the participant pipeline.
AIESEC ITAM · Mexico City
- Supported eight international volunteers from pre-arrival through local project execution and follow-up.
- Coordinated with local NGOs to align projects with the Sustainable Development Goals, logistics and participant safety.
- Strengthened intercultural communication, stakeholder coordination and problem-solving in dynamic environments.
Selected projects
Local, offline, private push-to-talk dictation for Windows 11 (ES/EN): global hotkey, on-device speech recognition, text injected into the focused app.
End-to-end CSV ingestion, cleaning and reporting workflow with automated tests, CI, operational docs and load testing.
Serial and MPI-parallel Bag-of-Words in C++17 with round-robin and size-balanced partitioning, containerized with Docker.
Interpretable goalkeeper save-probability prototype on 577 labeled World Cup 2022 shots.
Computer-vision system for waste classification, led technically within DataLab ITAM.
Technical skills
- Analytics & ML: Machine Learning, Computer Vision, Statistics · Monte Carlo, Power BI · Excel, Data architecture, Documentation & handoffs.
- Data & Cloud: BigQuery, ETL / ELT design, Pandas · NumPy, scikit-learn, PostgreSQL, MongoDB · Cassandra, Firebase / Firestore, Google Sheets integrations.
- Engineering: Next.js 16, Git · GitHub · CI, Docker, Linux, MPI, REST APIs, Astro · Tailwind.
- Languages: Python, SQL, TypeScript / JavaScript, C++17.
Certifications
- Anthropic certification (in progress) — Anthropic (In progress)
- AWS Academy program (in progress) — AWS Academy (In progress)
- DataCamp certification track (in progress) — DataCamp (In progress)
- Artificial Intelligence Diploma Program — Universidad Iberoamericana (Expected)
Languages
- Spanish — Native
- English — Professional working proficiency