Francisco Goitia
Lead Machine Learning Engineer at StatsBomb
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolFrancisco Goitia is a Lead Machine Learning Engineer based in Berlin with 11 years of experience blending software engineering, data science and business economics to deliver production ML systems. He currently leads ML efforts at StatsBomb while completing an MSc in Analytics at Georgia Tech, bringing both academic rigor (3.92 GPA) and hands-on product delivery. His background spans real-time bidding, fraud detection and time-series classification, with end-to-end ownership from fast data pipelines and Airflow jobs to dashboards and deployed models. Known for turning opaque models into actionable tools, he built monitoring and visualization products (Shiny/Docker) that improved transparency for decision-making in auction-based systems. Fluent across Python, Scala and SQL, he combines econometric thinking with engineering pragmatism to optimize automated economic decisions.
11 years of coding experience
5 years of employment as a software developer
Master of Science in Analytics, Data Science, GPA 3.92/4.0, Master of Science in Analytics, Data Science, GPA 3.92/4.0 at Georgia Institute of TechnologyLicentiate in Administration, Business Economics, Magna Cum Laude, Licentiate in Administration, Business Economics, Magna Cum Laude at University of Buenos Aires
Spanish, English, German
Stackoverflow
1,975reputation
508kreached
6answers
79questions
Github Skills (92)
pythonic9
scrapy9
scraper9
sinatra8
visualizer8
atmosphere8
async7
job-queue7
python7
ruby-on-rails6
scalate6
intellij-idea6
postgresql6
sql6
event-data6
Programming languages (5)
Github contributions (5)
statsbomb/statsbombpy
Jan 2020 - Feb 2021
Easily stream StatsBomb data into Python
Contributions:3 releases, 17 reviews, 31 commits in 1 year 1 month
FranGoitia/basketball_reference
Apr 2016 - Apr 2017
Basketball Reference Scraper
Contributions:11 commits, 9 pushes, 1 branch in 11 months
pythonscrapybasketball-referencescraperbasketball
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