Summary
Ita Donev is a data science consultant and founder with over two decades of domain experience in banking and nine years focused on hands-on data science and ML engineering. She blends an M.S. in Statistics with deep credit-risk expertise to build production-ready PD, survival, time-series and transformer models using Python, R, PyTorch and Keras, and has delivered BCBS239‑compliant risk data systems and IFRS9 validations. As an executive she led multi-team risk, ICAAP and reporting transformations that materially reduced NPLs and earned regulatory praise, and she continues to operationalize models with real-time monitoring dashboards in Shiny and Dash. Recent work includes fine-tuning base LLMs on transaction data, chemical compound prediction from mass-spectrometry, and recurrent loan prepayment forecasting—demonstrating a rare mix of banking domain rigor and modern deep-learning practice. She also created a well-rated DataCamp course on GLMs in Python, reflecting a commitment to translating statistical research into practical, teachable tools. Based in Croatia, Ita’s uncommon strength is bridging regulatory-grade risk processes with cutting-edge ML deployments that run in production.
9 years of coding experience
8 years of employment as a software developer
B.A., Mathematics, B.A., Mathematics at Graceland University
M.S., Statistics, M.S., Statistics at Rice University, George R. Brown School of Engineering
Croatian, English, German