Felipe Bravo
Expert Manager, Data Science
Chile
Summary
👤
Senior🎓
Top SchoolFelipe Bravo is a software engineer and mathematical engineer with an MS in Applied Mathematics and eight years applying data science and optimization across consulting and industry. He has led data science teams at Bain, solving ML and OR problems for production allocation and inventory optimization, and built end-to-end models for sectors from airlines to mining at Spike. Strong foundations in PDE modelling, Gaussian processes and Bayesian statistics complement his practical skills in Python, SQL and deployment, with experience in deep learning via fastai. Felipe focuses on model interpretability, fairness and data visualization, frequently bridging technical work with clear stakeholder communication and leadership. As an early founder and R&D director he developed low-cost, autonomous agri-weather stations and production-ready forecasting pipelines, showing a knack for translating math into robust products. Based in Chile, he combines rigorous academic training with hands-on consulting impact and a subtle emphasis on operationalizing explainable, fair ML.
8 years of coding experience
8 years of employment as a software developer
Magister en Matemáticas Aplicadas, Magister en Matemáticas Aplicadas at Universidad de Chile
Github Skills (17)
jupyterlab8
jupyter7
jupyterlab-extension7
geospatial-analysis7
maps6
jupyter-widget6
python6
webgl6
visualization6
javascript6
deck-gl5
data-visualization5
threejs5
causal4
gaussian2
Programming languages (3)
Github contributions (5)
pipesalas/avistamiento_ballenas
Feb 2023 - May 2024
Contributions:94 pushes in 1 year 2 months
SpikeLab-CL/cr2-mega-sequia
Mar 2021 - Jun 2022
Contributions:34 pushes in 1 year 4 months
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