Ahmet Kaya is a data scientist with eight years of hands-on experience building production-ready ML solutions across energy, mobility, and SaaS domains. Currently at BayWa r.e., he applies predictive and descriptive analytics to wind turbine temperature data, following roles where he improved battery SoH estimation and implemented explainable AutoML and data-profiling pipelines. He is fluent across the ML stack—PySpark, Scikit-learn, Pandas, Databricks, AWS/Azure—and has delivered tangible impact such as a cooling-failure alert with >90% recall and integration tests that reduced deployment errors. Comfortable in startups and international teams, he pairs strong engineering rigor with product-minded thinking to turn data into operational improvements. Though based in Munich with a background in computer engineering, he also brings academic research experience training vision models and a proven knack for optimizing pipelines to work within memory and production constraints.
8 years of coding experience
3 years of employment as a software developer
Bilgisayar Mühendisliği, Bilgisayar Mühendisliği at Hacettepe Üniversitesi
MF, MF at Özel Büke Anadolu Lisesi
Yüksek Lisans (Master), Informatics, Yüksek Lisans (Master), Informatics at Technical University of Munich
Installs Chrome and Gecko drivers that match with the specified browser versions
Contributions:62 commits, 23 PRs, 27 pushes in 3 years 7 months
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