Kutay Akalın
Data Scientist
Berlin, Germany
Summary
🤩
Rockstar🎓
Top SchoolKutay Akalın is a data scientist with 8 years' experience building end-to-end analytics and ML solutions across product, gaming, digital marketing, and music domains. He blends industrial engineering rigor and a Master's in Big Data Analytics with hands-on expertise in Python, BigQuery, Airflow, Vertex AI and cloud-native deployment to turn behavioral data into actionable KPIs and LTV/segmentation models. As a co-founder at a data-focused startup and a practitioner at game-focused teams, he has led ETL, data quality, API and dashboard work alongside feature engineering and model development for clients like EA and Supercell. He also teaches machine learning concepts and has contributed instructional decision-tree implementations to open-source educational material, demonstrating a knack for clear technical communication. Based in Berlin, Kutay gravitates toward productionized, scalable analytics pipelines and pragmatic ML that measurably improves user experience and monetization. An under-the-radar strength is his ability to straddle data engineering and modeling, ensuring insights are both robust and operational.
8 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Industrial Engineering, Bachelor's degree, Industrial Engineering at Istanbul Technical UniversityMaster's degree, Big Data Analytics, Master's degree, Big Data Analytics at MEF University
Turkish, English, German
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (5)
decision-tree10
jupyter-notebook10
machine-learning10
python10
algorithms9
Programming languages (2)
Github contributions (5)
gaih/introduction-to-machine-learning-archived
Dec 2020 - Apr 2021
Role in this project:
Data Scientist
Data ScientistContributions:39 commits, 39 pushes in 4 months
Contributions summary:Kutay's contributions primarily involve implementing machine learning lessons and related code differences, specifically focusing on decision trees. These include modifications to Jupyter Notebooks that contain code examples and explanations of decision tree concepts, algorithms, and their application within the context of Machine Learning. Their work aims to explain and demonstrate the functionality of ML algorithms and their usage.
KutayAkalin/kutayakalin
Apr 2021 - May 2022
Contributions:13 commits, 12 pushes, 1 branch in 1 year 1 month
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