Himanshu Saini
I’m Himanshu Saini, a data scientist with 4+ years of computational research and applied ML experience.
About
I’m Himanshu Saini, a data scientist with 4+ years of computational research and applied ML experience. I’ve built and shipped a real-time computer-vision system that runs 10–15 FPS on-device and trained high-recall models for semiconductor yield and credit-risk prediction.
My strengths include rare-event classification and cost-sensitive evaluation. I’ve delivered results such as ~75% recall in manufacturing yield and ~77% recall in credit risk, and I excel at turning data into robust, deployable solutions across academia and industry.
- 6 years' experience
- Joined October 2025
Skills· 17
Languages
- EnglishFluent
Industry experience
- Software & Internet
- Manufacturing
- Media & Entertainment
- Education
- Professional Services
- Financial Services
Work experience
Built WloopPHI, a Python tool integrated with WIEN2k for Berry-phase and Wilson-loop analysis of Weyl semimetals, reducing analysis time by ~60%. Conducted DFT studies to evaluate thermodynamic stability and topological phases; contributed to peer-reviewed publication. Developed a Python module for phase-diagram and convex-hull visualization to support materials screening.
Automated high-throughput DFT workflows for 2D materials screening; parameter sweeps and batch submissions; modeled MoS2/2D heterojunctions and g-C3N4 quantum dots; supported solar-cell and photodetector studies.
Education
Certifications and awards
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