About
Data Scientist with 10+ years of experience in machine learning and data engineering. Currently leading the DS team at Vana and lecturing at ECFM (USAC). Published at ICLR 2020 Workshop. Passionate about applying AI to real-world and scientific challenges.
Work Experience
Va
Sr. Data Scientist
Vana · Remote
Jul 2022 – Present · 3 yrs
- Technical Lead of the DS team — design and oversee data science projects
- Risk scoring services and micro-loan acceptance models
US
Lecturer & Researcher
Universidad San Carlos · ECFM
Jan 2025 – Present · 1 yr
- Programación 1 · Electrónica Digital
Zu
Sr. Data Engineer / Data Scientist
Zubale · Remote
Mar 2021 – Jul 2022 · 1 yr 5 mos
- In-store demand forecasting model (100+ stores)
- Python ETL library development; DS team hiring
HC
Data Scientist
HealthCare.inc · Guatemala
Jan 2020 – Mar 2021 · 1 yr
- ETL development (Python / SQL) · Cost & revenue forecast model (PyTorch)
Xo
Data Scientist I / Big Data Engineer
Xoom, a PayPal Service · Guatemala
Feb 2016 – Dec 2019 · 3 yrs 10 mos
- ML pipelines and data engineering using PySpark, TensorFlow, Hadoop
Research & Publications
Computer vision system for automatic detection of P. Vivax malaria parasites using CNNs (U-Net, YOLO) in TensorFlow — 1,364 annotated images / 80K+ labeled cells. ICLR 2020 Workshop Poster · GitHub
Select Certifications
2025Retrieval Augmented Generation — Coursera
2020Mathematics for Machine Learning — Coursera
2024Generative AI with LLMs — Coursera
2020Fundamentals of Reinforcement Learning — Coursera
2019Intro to TensorFlow for AI / ML / DL — Coursera
2017Neural Networks & Deep Learning — deeplearning.ai
2018Machine Learning — Coursera
2016Hadoop & Apache Spark — Coursera / Edx