Building high-end data products for regulated industries. "Health is my MBA in difficult data."I accelerate critical reporting lifecycle from 3 days to 4 hours.
Biomedical engineer turned data scientist. 6+ years turning regulated, messy clinical data into production ML systems — skills that transfer to any industry.
My path: Biomedical Engineering (ITM) → Specializations in Biomedicine (UPB), Health Administration (UdeA), Analytics & Big Data (IU Digital) → MSc Data Science (EAFIT, 2024).
Healthcare gave me a unique training ground: RIPS, PQRS, clinical records — heterogeneous, incomplete, under strict regulation. If you can make ML work there, you can make it work in fintech, insurtech, or e-commerce.
I build systems that scale: ETL pipelines that save 40h/week, geospatial models at 85% accuracy, and BI dashboards that replace entire reporting teams.
“Healthcare is my MBA in hard data — regulated clinical data as a training ground for any industry.”
MSc Ciencia de Datos y Analítica
Universidad EAFIT · 2023–2024
Esp. Analítica y Big Data
IU Digital de Antioquia · 2023
Esp. Administración Servicios de Salud
Universidad de Antioquia · 2022
Esp. Ingeniería Biomédica
Universidad Pontificia Bolivariana · 2017–2019
Ingeniería Biomédica
Institución Universitaria ITM · 2010–2016
6+ years delivering high-impact data products — from rural telemedicine to enterprise BI at scale.
Savia Salud EPS
40h/week savedTECNALIA / MinCiencias
20+ projects auditedUpwork
E.S.E. Hospital Santa Margarita
−35% wait timesE.S.E. Metrosalud
Production systems built at the intersection of data science, ML, and engineering.
Deep learning system for bird species recognition and tetrachromatic vision simulation. Trained on GCP with TensorFlow/Keras, deployed with FastAPI. Simulates how birds perceive color in the UV spectrum.
Autonomous AI agent that interfaces with NCBI BLAST for genomic sequence analysis. Built with LangChain and OpenAI API, enabling natural language queries over bioinformatics databases.
Production-grade ETL/ELT pipelines orchestrated with Apache Airflow on GCP. Includes BigQuery transformations with dbt, automated data quality checks, and CI/CD deployment.
Power BI dashboards with HTML/CSS custom visuals serving 50+ executives at Savia Salud EPS. Integrated 4 heterogeneous data sources (RIPS, BDUA, tutelas), eliminating 100% of manual Excel reports.
End-to-end data products — from raw pipeline to deployed model to executive dashboard.
Custom vision models for object detection, classification, and medical imaging. From prototype to GCP-deployed API.
Executive-grade dashboards in Power BI, Tableau, and Looker Studio. Automated pipelines that replace manual reporting.
End-to-end ML deployment on GCP and AWS. FastAPI microservices, Docker containers, scalable inference APIs.
Production pipelines with Airflow, dbt, and Python. Transform messy, heterogeneous data into clean analytical layers.
Autonomous agents with LangChain for document analysis, database queries, and workflow automation using n8n.
Workshops on Python, ML pipelines, and data culture. Hands-on training tailored to your team's current skill level.
Open to consulting engagements, full-time roles, and complex data architecture challenges. Let's create something meaningful.
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juan_felipe116@hotmail.comMedellín, Colombia · Remote Available