Summary
Mert Sürücüoglu is a data scientist based in Munich with a decade of experience applying Python, SQL and Azure to build production-ready pipelines, dashboards, and ML solutions that optimize network operations and monitoring. He holds an M.Sc. in Computer Science from TUM, where his thesis developed a robust analysis pipeline for high-throughput reporter gene assays to improve drug discovery interpretability. Across roles at Unsere Grüne Glasfaser, HENSOLDT and industry projects, he has combined anomaly detection on large KPI surfaces with deep-learning and time-series modeling for practical operational impact. Mert is comfortable moving between research-grade bioinformatics work and production engineering, and has a track record of simulating controls and crafting visualizations to make complex results actionable. He enjoys exploring new ideas and routinely bridges domain knowledge with deployable data solutions.
10 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Computer Science, 3.37/4(CGPA), Bachelor's degree, Computer Science, 3.37/4(CGPA) at Hacettepe University
Master's degree, Computer Science, Master's degree, Computer Science at Technische Universität München
Bachelor's degree, Computer Science, 3.72/4, Bachelor's degree, Computer Science, 3.72/4 at University of Düsseldorf
Turkish, English, German, Spanish