Abhishek Bihani
Data Scientist
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolAbhishek Bihani is a Data Scientist with eight years of professional experience and over four years at Tignis, Inc., specializing in machine learning, time-series analysis, and physics-based simulations for industrial automation. He builds digital twins for complex processes in oil & gas and semiconductor sectors to drive efficiency, safety gains, and reduced environmental impact. Holding a Ph.D. in Petroleum Engineering from UT Austin, he bridges domain expertise with practical ML deployments that translate simulation insights into production controls. He is comfortable navigating both research-grade modeling and engineering trade-offs to deliver actionable, scalable solutions. Based in Old Toronto, he brings a blend of academic rigor and hands-on industrial experience that helps teams convert noisy sensor data into reliable operational decisions. An underappreciated strength is his ability to integrate physics constraints into ML models, improving interpretability and robustness in high-stakes environments.
9 years of coding experience
The University of Texas at Austin
Marwari, Marathi, Hindi, English
Github Skills (39)
parallel10
volumes10
reactive10
feature-selection10
3d-images10
feature-engineering9
aws9
imbalanced-data9
jupyter-notebook9
binary-classification8
amazon-sagemaker8
reinforcement-learning8
inference8
machine-learning8
sagemaker8
Programming languages (3)
Github contributions (5)
abhishekdbihani/abhishekdbihani.github.io
Oct 2019 - Jul 2024
Use this template if you need a quick developer / data science portfolio! Based on a Minimal Jekyll theme for GitHub Pages.
Contributions:2 PRs, 95 pushes, 2 branches in 4 years 9 months
data-developersciencedata-sciencejekyll-theme-minimaljekyll
abhishekdbihani/compaction_LIGGGHTS
May 2020 - Nov 2020
This repository contains the workflow for creating a bidisperse grain pack and running a uniaxial compaction test on it using LIGGGHTS. Scripts for post-processing (calculating, plotting and visualizing coordination numbers and force chains) are also provided.
Contributions:1 release, 20 commits, 7 pushes in 6 months
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