Nyam-Ochir B.

I’m a Data Scientist and AI/ML Engineer who builds end-to-end, production-ready solutions—from exploratory analysis to deployment and monitoring—using Python and modern ML/deep-learning frameworks. I help clients turn data into measurable outcomes through advanced analytics, state-of-the-art model development, and well-engineered systems that are reliable, scalable, and easy to maintain. I’m comfortable owning the full lifecycle: problem framing, data acquisition/ETL, feature engineering, model training and evaluation, packaging (APIs/batch pipelines), deployment, and ongoing performance monitoring and iteration. I typically work in an Agile delivery style with clear milestones, frequent check-ins, and transparent progress reporting. My strongest areas include quantitative finance and market analytics, including high-frequency/quant strategy research, algorithm development, backtesting, and risk-aware portfolio workflows. In parallel, I also deliver enterprise-grade ML for business applications—computer vision AI systems, e-commerce recommendation engines, and banking/financial models such as ML-based credit scoring and income estimation for banks and NBFIs. I’ve worked with clients across multiple regions and time zones, including Australia, New Zealand, the UK, Germany, Norway, Japan, the USA, and other international markets. I focus on high-quality delivery, clear communication, and long-term client relationships.