Diego Gimenez
Senior Data Scientist 2 - Team Lead
Madrid, Community of Madrid, Spain
Summary
👤
Senior🎓
Top SchoolDiego Gimenez is a Senior Data Scientist and team lead based in Madrid with 8 years of experience building production ML systems and analytics pipelines across startups and scale-ups. He combines a psychology background with MS degrees in Business Analytics and International Business to bridge quantitative research, product strategy, and engineering—especially in NLP, recommender systems, and ETL at scale. Diego has repeatedly turned prototypes into production (deploying models as REST APIs on GCP/AWS and optimizing PySpark pipelines for 300% speedups) and improved model performance through generative AI and drift detection. He excels at aligning data science work with business priorities, having led teams to measurable product gains like a 19% accuracy lift and conversion increases from 41.9% to 50%. Comfortable across R, Python, Spark, and cloud stacks, he also contributes to civic tech and academic communities, reflecting a blend of applied ML, teaching, and open collaboration. An analytical thinker with a psychologist’s view of users, he brings nuance to feature engineering, experimentation, and stakeholder communication.
9 years of coding experience
7 years of employment as a software developer
B.s.c Psychology, B.s.c Psychology at Universidad Metropolitana (VE)Master of Science - MS Business Analytics, Master of Science - MS Business Analytics at Hult International Business School
Stackoverflow
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Github Skills (9)
python7
machine-learning6
algorithmic-trading6
javascript3
text-mining3
r3
r-package3
topic-modeling3
visualization2
Programming languages (4)
Github contributions (5)
dieko95/AlgoTrading
Jun 2019 - Apr 2020
Financial Machine Learning and Algorithmic Trading with Python
Contributions:29 commits, 28 pushes, 4 branches in 10 months
algorithmic-tradingmachine-learningpython
unimet-psicologia/metodos_cuantitativos
Dec 2020 - Mar 2022
Contributions:54 commits, 10 PRs, 51 pushes in 1 year 2 months
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