Summary
Bunyamin Polat is a data scientist based in Buchs, Switzerland with four years of experience building NLP and ML solutions for healthcare, legal, and financial domains. At John Snow Labs he boosted NLP model accuracy by ~30%, engineered NER systems that exceed 90% accuracy for PHI and financial entities, and cut data processing times by 40% through Python/PySpark pipeline automation. Previously an education mentor, he designed and deployed production-ready models (XGBoost ensembles, TensorFlow classifiers, BERT) and helped students ship ML projects via Flask APIs. Early experience as a project manager gives him strong delivery discipline and stakeholder communication skills alongside technical depth. He pairs academic training in computer engineering and MIS with a practical focus on high-impact, compliance-sensitive AI applications.
4 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at Karadeniz Technical University
Bachelor's degree, Management Information Systems, General, Bachelor's degree, Management Information Systems, General at Anadolu University
Turkish, German, English