Work.
Every project and study, in one catalogue.
Introduction
Catalogue
Applied AI Investment Thesis & Diligence
Evaluated five Turkish-founded Applied AI startups across team, market opportunity, AI differentiation, commercial traction, and investment risk. Built investment memos from publicly available funding, market, customer, and operating data, then mapped the evidence gaps and diligence questions that could change the investment thesis.
Narsent
Co-founded a decision-intelligence product for receivables and cash operations, combining forecasting, risk assessment, workflow design, and AI-assisted decision support for finance teams.
Customer Financial Risk Scoring System
Built a customer-level financial risk scoring pipeline in Python, combining LightGBM and regression models to model payment risk, loss severity, and expected delay, then translating the outputs into calibrated portfolio risk scores, exposure measures, risk buckets, and explainable decision signals.