Muhammed Buyukkinaci

Senior Data Scientist

Istanbul, Istanbul, Türkiye Turkey
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Summary

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Senior
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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.
code8 years of coding experience
job6 years of employment as a software developer
bookBachelor's degree Industrial Engineering, Bachelor's degree Industrial Engineering at Boğaziçi University
languagesİngilizce, Arabic
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Github Skills (84)

gated-recurrent-unit10
python10
image-processing10
low-level10
unet-image-segmentation10
low-level-programming10
deep-learning10
lstm-neural-networks10
convolutional-neural-networks10
side-bar10
r10
ml10
gradient-boosting10
localization10
latex10

Programming languages (5)

C++TeXJavaScriptJupyter NotebookPython

Github contributions (5)

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Contributions:73 commits, 69 pushes, 1 branch in 3 years 4 months
Implementation of Neural Style Transfer algorithm with pre-trained VGG-16 Network & TensorFlow in Python 3.
Contributions:96 commits, 89 pushes, 1 branch in 1 year
neural-style-transferpythontensorflowartistic-style-transferneural-style-transfer-tensorflow
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