Summary
Nazmiye Coskun is a Senior Data and Applied Scientist with 8 years of industry experience combining rigorous academic training (PhD in Computer Science) with production ML at Visa and Microsoft. She led the Hawkeye project for Merchant Category Code gaming detection and designed payment-volume monitoring and alerting systems that earned three Visa Technical Innovation Awards and three US patents. Her research and engineering work spans anomaly detection on time-series and graph-structured payment/blockchain data, privacy-preserving data generation using differential privacy, and deep learning models such as autoencoders, TCNs, LSTMs and RNNs. Fluent in Python, Java and PySpark, she has practical experience operationalizing ML on cloud platforms including Azure ML/AutoML and low-level network programming (TCP/UDP). Nazmiye publishes in top ML venues (PKDD, ICDM) and uniquely bridges cutting-edge research with deployable solutions that scale across enterprise payments systems. Based in Dallas, she brings a product-focused mindset to privacy-aware, fraud-detection and monitoring problems.
8 years of coding experience
7 years of employment as a software developer
Master's degree, Computer Science, 3.82, Master's degree, Computer Science, 3.82 at The University of Texas at Dallas
Bachelor of Science (BS), Computer Engineer, Bachelor of Science (BS), Computer Engineer at Orta Doğu Teknik Üniversitesi / Middle East Technical University