Federico Dominguez Molina
Data Scientist and Engineer @ Energy & Environment Lab
About
Data Scientist building systems that transform data into actionable insights for social impact and business growth. Currently working on environmental advocacy and public health at the Energy & Environment Lab.
I hold an M.S. in Computational Analysis and Public Policy (MSCAPP) from the University of Chicago and a B.A. in Economics (Honors) from ITAM in Mexico. My work combines technical expertise with a passion for using data science to solve real-world problems—from environmental advocacy to public health compliance and business intelligence.
Experience
Data Scientist
Energy & Environment Lab
- • Pioneered global alert system targeting air pollution advocates across 30+ cities using NLP, graph analysis, and real-time data
- • Implemented 10+ algorithms to verify compliance of 350,000 US Public Water Systems for 45+ pollutants
Data Science Research Assistant
University of Chicago
- • Co-developed FastAPI web platform for laboratory games informing children's decision-making research
- • Created 10+ interactive visualizations with Plotly to detect bias in 250+ policing research papers
Data Engineering Fellow
Coding it Forward
- • Automated data collection & cleaning for six websites, reducing 10+ weekly hours of manual work
- • Built Python data platform for Long Beach Climate Office accessing 2010-2023 data
Senior Data Scientist
deep_dive
- • Led automatic alert system for 20+ clients to improve customer relationships via social media analytics
- • Built serverless architecture collecting data on 250,000+ commercial goods for strategic pricing
- • Developed ML recommender system offering customized loans to 500,000+ borrowers
Junior Data Scientist
deep_dive
- • Extracted and parsed data from key Mexican governmental sources for strategic analysis
- • Implemented dynamic Power BI dashboard to monitor government projects and infrastructure
- • Devised supervised ML models achieving top inflation forecaster status in Mexico
Highlighted Projects
Global Air Pollution Alert System
Pioneered a global alert system targeting air pollution advocates from 30+ cities using X (Twitter), natural language processing, graph analysis, and real-time pollution data.
Automated Trading Platform
Designed EC2 architecture and Python code to auto-trade over 10+ portfolios through Interactive Brokers with daily stock price ingestion.
Interactive Laboratory Games Platform
Co-developed FastAPI web platform to play laboratory games and inform research on children decision-making behavior.
ML Loan Recommendation System
Developed machine learning recommender system to offer customized loans to over 500,000 borrowers, improving conversion rates.
Social Media Analytics Alert System
Led automatic alert system project to help 20+ clients improve customer relationships via social media analytics and real-time monitoring.
Long Beach Climate Data Platform
Built a Python data platform allowing City of Long Beach Climate Office to download data from 2010-2023, improving access and saving hundreds of work hours annually.
Policing Research Bias Detection
Created 10+ interactive visualizations and dashboards with Plotly to detect bias in 250+ policing research papers for academic research.
Skills & Expertise
Python
Machine Learning
NLP & AI
Cloud & DevOps
Education
M.S. in Computational Analysis and Public Policy (MSCAPP)
University of Chicago
June 2024
B.A. in Economics, Honors
Instituto Tecnológico Autónomo de México (ITAM)
June 2020
Publications
Featured
Contact
I'm always interested in discussing data science challenges, social impact projects, or collaboration opportunities. Feel free to reach out.