Binny Paul

Principal Data Scientist

Austin, Texas, United States
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Summary

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Senior
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Top School
Binny Paul is a Principal Data Scientist and transportation engineer with 10 years of experience translating complex mobility data into policy-ready models and forecasts. He has deep expertise in travel demand and behavioral modeling, transport network analysis, discrete-event simulation, and applied machine learning—skills honed across consulting and industry roles including RSG, PTV Group, and SH 130 Concession Company. Binny blends rigorous econometric and statistical methods with practical ETL and data-visualization workflows (R, Python, SQL) to deliver transit ridership forecasts, emerging-mode analysis, and optimization-driven solutions. His academic work on PHEV impacts and emissions policy adds a rare research-to-practice perspective that informs decisions on carbon and infrastructure investments. Based in Austin, he pairs technical leadership with hands-on model development to help agencies make evidence-based, operational decisions.
code10 years of coding experience
job7 years of employment as a software developer
bookIndian Institute of Technology Madras
bookMS Transportation Engineering, MS Transportation Engineering at The University of Texas at Austin
languagesEnglish, Hindi, Malayalam
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Github Skills (22)

synthesis9
linear-programming8
optimization8
python8
operations-research8
data-science8
combinatorial-optimization7
transit7
constraint-programming7
gurobi7
vehicle-routing-problem7
simulated-annealing7
javascript6
evaluation6
react5

Programming languages (6)

JavaRC++HTMLJupyter NotebookPython

Github contributions (5)

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binnympaul/travel-model-one

Mar 2020 - May 2021

Travel Model One scripts and utilities
Contributions:2 pushes in 1 year 2 months
scripttravel-modelmod-managerqbcore-frameworktravel
binnympaul/popsyn3

Feb 2017 - Jul 2017

Contributions:13 pushes, 6 branches in 5 months
mtc
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Binny Paul - Principal Data Scientist