Muhammed Buyukkinaci is a Senior Data Scientist with eight years of experience building production-ready ML systems and end-to-end data pipelines, currently driving personalization and ETL automation at hepsiemlak. He blends Machine Learning Engineering, MLOps and backend skills—Python, FastAPI, Airflow on Kubernetes, Spark and AWS—to deploy models such as a Siamese-network-powered hybrid recommendation system that informs personalized emails and mobile pushes. His work spans imaging (watermark removal, image quality scoring), pricing prediction, fraud detection and automated data orchestration, showing a pragmatic eye for business impact and operational reliability. A T-shaped engineer with a background in industrial engineering, he pairs strong technical breadth with clear communication and cross-functional collaboration. Notably, he has applied interpretable ML (SHAP) to real-world risk and wildfire prediction problems, lowering insurance loss ratios and outperforming public benchmarks.
8 years of coding experience
6 years of employment as a software developer
Bachelor's degree Industrial Engineering, Bachelor's degree Industrial Engineering at Boğaziçi University
Contributions:5 PRs, 17 pushes, 4 branches in 4 years 2 months
pythonmachine-learningbitcoinprices
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