Summary
Boris Nedyalkov is an analytics engineer with four years of hands-on experience turning messy data into product impact across startups and research labs. Skilled in Python (Pandas, scikit-learn, NLTK), SQL (ClickHouse, PostgreSQL, MySQL), Dash visualizations, Airflow and Docker, he has driven model improvements and feature launches for high‑MAU voice assistant products and KYC platforms. At SberDevices he built text-processing pipelines and QA processes that raised model accuracy from ~55% to 95% and enabled multiple production models; at Sumsub he progressed from product analyst to analytics engineer. His background in experimental science and materials engineering gives him a strong analytical rigour and an uncommon ability to design experiments, validate assumptions and translate results into product requirements. Based in Sofia, he combines production analytics with a research mindset, often improving crowdsourced data collection and annotation workflows to boost model performance.
3 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS, Chemistry, 1st class Honours, Cumulative GPA (4.0/4.0), Bachelor of Science - BS, Chemistry, 1st class Honours, Cumulative GPA (4.0/4.0) at Cardiff University / Prifysgol Caerdydd
Masters 1, Chemistry, Masters 1, Chemistry at École Polytechnique
Bachelor of Science - BS, Chemistry, 2nd Class (Higher Division), Cumulative GPA (3.7/4.0), Bachelor of Science - BS, Chemistry, 2nd Class (Higher Division), Cumulative GPA (3.7/4.0) at University of Sussex
Foundation degree, Chemistry, Foundation degree, Chemistry at Queen Mary University of London