Summary
Pankaj Sharma is a senior data scientist with over a decade of experience translating large-scale experimental and production data into high-impact machine learning solutions, currently driving ML initiatives at Darwinium and ThreatMetrix from Sydney. He combines a deep academic pedigree in particle physics (PhD) with hands-on expertise in Python, deep learning frameworks and big data tooling to deliver fraud-detection, behavioural biometrics and automated canary analysis systems that materially improved detection and release-validation metrics. His background in Monte Carlo simulation and statistical methodology underpinned award-winning research (EU Horizon 2020 Seal of Excellence) and a prolific publication record, while recent industry work produced novel algorithms for real-time explainability and Digital ID uniqueness. Notably, he has a track record of turning physics-scale datasets into actionable product features—engineering high-level features from low-level signals such as keystrokes, sensor streams and network graphs to boost model performance.
8 years of coding experience
4 years of employment as a software developer
University of Delhi
Doctor of Philosophy - PhD, Particle Physics, Doctor of Philosophy - PhD, Particle Physics at Physical Research Laboratory
Year 11-12, Physical Sciences, Year 11-12, Physical Sciences at St Martin's School Delhi
English, Hindi