David Revillas
Data Scientist
Bilbao, Autonomous Community of the Basque Country, Spain
Summary
🤩
Rockstar🎓
Top SchoolDavid Revillas is a data scientist and developer based in Bilbao with nine years of experience applying machine learning to real-world forecasting, energy modeling, and business problems. At Datu(a) IA he has built LLM-based text analysis proofs-of-concept using both proprietary and open models, developed forecasting solutions for public entities, and implemented churn prediction and data engineering pipelines for finance. Previously he led ML efforts at Meteobit, improving numerical weather prediction with deep learning and deploying production forecasting for renewable energy and media clients. He frequently teaches and consults on web scraping and practical data collection, a recurring thread that underpins his applied modeling work. Comfortable moving models from research to production, he blends academic training (MSc in Computational Engineering and Intelligent Systems) with hands-on engineering across Python-based ML stacks.
9 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computational Engineering and Intelligent Systems, Master of Science - MS, Computational Engineering and Intelligent Systems at EHU
Spanish, English, Basque
Github Skills (157)
probabilistic-programming10
python10
density-estimation10
deep-learning10
bayesian-inference10
magnetometer10
variational-inference10
data-science10
pacman10
bayesian10
temperature-sensor10
tensorflow10
probabilistic-models10
pytorch10
machine-learning10
Programming languages (10)
Github contributions (5)
r3v1/python-euskalmet
Jul 2022 - Mar 2024
Contributions:15 pushes, 1 branch, 7 tags in 1 year 7 months
r3v1/crowded_beach
May 2022 - Feb 2024
Contributions:5 pushes, 1 branch, 2 issues in 1 year 9 months
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