Summary
Soner Kalkan is a Senior Data Scientist based in Istanbul with nine years of experience building production-ready ML systems across e-commerce, advertising, and weather intelligence. He has led recommendation and ranking projects, image moderation with state-of-the-art CNNs, knowledge-graph driven fashion recommendations, and CTR prediction work for large platforms. Soner blends research-oriented roles (NLP and recommender research) with hands-on engineering—deploying end-to-end pipelines from preprocessing to model serving. His background spans startups and enterprise teams (Hepsiburada, Huawei, EPAM), and he brings practical experience in time-series forecasting, session-based recommenders, and autoencoder-based content retrieval. Notably, he pairs deep learning expertise with real-world optimization work (propensity modelling, genetic-algorithm-driven income optimization), making him effective at turning complex ML research into measurable business impact.
9 years of coding experience
7 years of employment as a software developer
Yüksek Lisans (Master) Bilgisayar Mühendisliği, Yüksek Lisans (Master) Bilgisayar Mühendisliği at Istanbul Kultur University
Turkish, English