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.

Himanshu Saini

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.

Available to hire

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.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

Computational Scientist at McMaster University
December 1, 2023 - October 2, 2025
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.
Junior Research Fellow at Research Institute, SRM University Chennai, India
July 1, 2019 - October 2, 2025
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

MASc, Materials Engineering at McMaster University
September 1, 2019 - June 1, 2023
MTech, Nanotechnology at SRM Institute of Science & Technology
July 1, 2014 - June 1, 2016

Qualifications

NSERC Graduate/Research Scholarship
September 1, 2019 - October 2, 2025
Junior Research Fellowship, Ministry of New & Renewable Energy
July 1, 2016 - October 2, 2025

Industry Experience

Software & Internet, Manufacturing, Media & Entertainment, Education, Professional Services, Financial Services