Hi, I’m Anar Bold
a data and risk analyst who loves turning complex problems into smart, AI-powered tools
where actuarial thinking meets a bit of imagination.
From insurance agents that read policies to machine learning models trained on real-world data, every project here blends logic, design, and curiosity.
Project 3: Mongolian Transcription App
🎬 AI-powered video subtitle generator
This project fills a real gap for Mongolian content creators by providing fast and reliable transcription with native-language accuracy. It serves as both a showcase of modern AI integration engineering and a step toward a commercial SaaS platform for creators and educators. Beyond media, it reflects my broader interest in using AI to convert unstructured data, whether language, documents, or audio, into structured and actionable information. This same approach underpins my work in financial and insurance risk automation.
Project 4: Autonomous Drone Vision
Deep Learning Exploration
Experimental project combining YOLOv8 and Mask R-CNN for obstacle detection and route mapping in drone imagery. Developed to strengthen my understanding of model training, optimization, and applied computer vision, with skills transferable to quantitative modeling and automated risk analysis.
Project 5: NFA Analysis – Switzerland's Net Foreign Assets
Swiss NFA Valuation Effects
This project explores how currency fluctuations contribute to changes in Switzerland’s net foreign asset (NFA)position. Using R, the analysis compares FX-only valuation effects (based on major currencies) with the official total valuation effect reported by the Swiss National Bank (SNB). The graph shows that the major part of Switzerland’s valuation losses is driven by the depreciation of foreign currencies against the Swiss franc, especially since 2008.
I combine a physicist’s curiosity with an actuary’s precision to think bold, analyze deeply, and deliver clarity from complexity.
