Emre Çelikten is an experienced data scientist with 11 years of applied software and machine learning experience, currently driving data initiatives at STH Consulting from Türkiye. He has a strong track record of end-to-end ownership—building ETL pipelines, improving database performance, and producing high-quality datasets for ML—demonstrated by his sole-data-scientist role at TradeMachines. His hands-on background spans NLP (BiLSTM entity recognition), computer vision improvements for object detection, and industrial-scale batch image classification across hundreds of millions of images. Earlier roles combine research-grade Bayesian modeling at Aalto University with production engineering in Scala, Python, JavaScript and PHP, giving him both academic rigor and pragmatic engineering instincts. He brings a practical emphasis on data quality, reproducible pipelines and stakeholder communication, and often pairs research techniques with software-engineering best practices. A less obvious strength is his history of optimizing long-running build systems and mentoring teammates—skills that help scale models into maintainable production systems.
11 years of coding experience
3 years of employment as a software developer
B. Sc., Computer Engineering, B. Sc., Computer Engineering at İzmir Yüksek Teknoloji Enstitüsü
Master's Degree (incomplete), Machine learning and data mining, Master's Degree (incomplete), Machine learning and data mining at Aalto University
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