Summary
Hasan Gültekin is a Senior Data Analyst with seven years of experience applying big data and machine learning to financial and operational problems, currently driving advanced analytics at Turkey's Ministry of Treasury and Finance. He designs and deploys end-to-end ML pipelines—including NLP and LLM integrations—for AML, fraud detection, and unstructured data processing, and has a track record of reducing false positives and speeding compliance reviews. Previously at Huawei he scaled Hadoop/Spark workflows, led data teams, and translated complex requirements into actionable dashboards and automated ETL processes. Trained in Computer Technology and Information Systems and certified in Python and SQL by IBM, he blends hands-on engineering (Python, SQL, TensorFlow, scikit-learn) with pragmatic product thinking. Known for mentoring junior analysts and fostering cross-functional collaboration, he prefers solutions that balance model sophistication with operational reliability. An interesting facet: he pairs public-sector regulatory analytics with prior telco-scale data engineering experience, making him adept at both compliance-focused insight and large-scale data processing.
7 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Computer Technology and Information Systems, Bachelor's degree, Computer Technology and Information Systems at Mersin Üniversitesi / Mersin University
Turkish, English