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.
8 years of coding experience
The University of Texas at Austin
Marwari, Marathi, Hindi, English
Github Skills (38)
volumes10
reactive10
simulations10
volume-rendering10
3d-images10
jupyter-notebook10
microscopy10
amazon10
reinforcement-learning9
machine-learning-models9
parallel9
simulation9
sagemaker9
inference9
aws9
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/synthetic_well-log_polynomial_regression
Nov 2019 - Sep 2020
This project attempts to construct a missing well log from other available well logs, more specifically an NMR well log from the measured Gamma Ray (GR), Caliper, Resistivity logs and the interpreted porosity from a well.
Contributions:18 commits, 1 PR, 17 pushes in 10 months
gamma-rayraynmrmissingwell-logs
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