Hi, I'm Jorge Guerra 👋
ML Engineer · Data Scientist · Entrepreneur · Builder
I've spent the last 10+ years building ML systems, data platforms, and products that solve real problems — from saving banks millions with predictive models to deploying cardiovascular risk tools used by 500K+ people. My work spans machine learning, NLP, full-stack development, and mobile apps across banking, healthcare, research, and tech startups.
I'm equally comfortable building frontend interfaces, designing backend architectures, writing Python pipelines, or automating complex workflows end-to-end.
🚀 What I'm Building Now
| Project | Role | Description |
|---|---|---|
| 🧬 Onkopilot | Co-Founder & CTO | AI-powered oncology support platform using RAG & LLMs to guide cancer patients and caregivers |
| 🏅 Xsporty | Co-Founder & CTO | Sports community app connecting athletes, coaches, and facilities in Puerto Rico |
| 🦷 My Dental Path | CTO | Platform helping international dentists navigate US dental school admissions |
💼 Experience Highlights
Data Scientist Program Lead @ Popular Bank (2023 – Present)
- 💰 Saved $58M by building a tool to classify claimed vs. unclaimed properties
- 💰 Saved $300K/year with an ML-based loan portfolio valuation model
- 📉 Reduced AML analyst workload by 10X with an XGBoost-powered alert detection system
Data Scientist @ One Drop (2021 – 2022)
- 🫀 Developed a cardiovascular risk model deployed to 500K+ users with diabetes
Senior Data Scientist @ KPMG (2019 – 2021)
- 🏥 Built NLP + OCR pipeline automating 10,000+ manual medical record reviews
Data Scientist @ Children's Hospital of Philadelphia (2017 – 2019)
- 🏆 Won the Drexel LeBow Analytics 50 Award for patient no-show prediction model
- 🔬 Published at ACL CLPsych 2019 and IEEE EMBS 2018
🧠 Skills & Stack
Languages: Python · SQL · R · C# · MATLAB · Java
ML / AI: Scikit-learn · XGBoost · LightGBM · TensorFlow · PyTorch · SVMs · HMMs · Ensemble Methods
NLP: spaCy · NLTK · BioBERT · ClinicalBERT · Transformers · NER · Topic Modeling
GenAI: LLMs · RAG · LangChain · OpenAI API · Claude · Prompt Engineering · Fine-tuning
Cloud & Infra: AWS · Azure · Databricks · Docker · Git · CI/CD
Mobile & Web: Flutter · Dart · Firebase · Next.js · iOS · Android
Visualization & BI: Power BI · Tableau · Plotly · Matplotlib
📄 Selected Publications
- 📖 Cardiovascular Risk Prediction for Mobile Health Applications — Intelligence-Based Medicine, 2025
- 📖 CV Disease Risk Variability Over Time in People with Diabetes — AHA Scientific Sessions, 2021
- 📖 CLPsych 2019: Predicting Suicide Risk from Reddit Posts — ACL Workshop, 2019
- 📖 SCOSY: A Biomedical Collaboration Recommendation System — IEEE EMBS, 2018
- 📖 Upper Extremity Movement Classification for Stroke Rehab — IEEE ICORR, 2017
🎓 Education & Honors
🎓 M.S. Data Science — Columbia University (GEM Fellow)
🎓 B.S. Computer Engineering — University of Central Florida (McNair Scholar · Dean's List)
🏆 Analytics 50 Award — Analytics Magazine, 2018
🏆 GEM Fellowship — National GEM Consortium, 2014
🏆 McNair Scholar — Ronald E. McNair Program, 2013
📍 Based in San Juan, Puerto Rico · Open to Consulting
If you have a project that involves ML, NLP, data platforms, or full-stack product development — let's talk.