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Vinay Chourasiya | Gravity Talent Portal

Vinay Chourasiya

Vinay Chourasiya

Data Scientist

https://talent.gravityer.com/vinay-chourasiya

M.tech (Operations Research), IIT Bombay

Bengaluru, Karnataka, India

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Member since June 19, 2026

https://talent.gravityer.com/vinay-chourasiya

Top Skills

AMPLPythonC++Jupyter NotebookMakefileRHTML

Skills

AMPLPythonC++Jupyter NotebookMakefileRHTML

Projects

Supply-Chain-Design-

December 3, 2020 – December 22, 2020

Supply chain network optimization for oilseed processing (bio-diesel application)

vinaychourasiya.github.io

September 24, 2019 – September 24, 2019

My personal website

TSP-INDIA

September 8, 2019 – December 14, 2020

Travelling salesman problem for India

TSP-heuristics

April 6, 2019 – December 26, 2020

Implementing various heuristics for Traveling Salesman Problem (TSP).

Server_Workshop

February 9, 2019 – February 9, 2019

Server_Workshop — GitHub repository

IEOR-for-Health-Care-Assignments-

June 18, 2018 – December 26, 2020

IEOR-for-Health-Care-Assignments- — GitHub repository

Online-Learning

June 18, 2018 – June 18, 2018

Online learning algorithms

ModellingLabCode

June 18, 2018 – December 26, 2020

IE-507 :Modeling & Computation Lab

TransplantCenterRegionDivision

June 18, 2018 – March 29, 2020

This is my course project of IE-709 (IEOR for Healthcare)

Web-Dev

June 18, 2018 – June 18, 2018

Web development repository

Key Strengths

Demonstrated interest in optimization problems (Supply Chain, TSP)
Experience with AMPL for mathematical modeling
Familiarity with Python for algorithmic implementations

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects primarily focus on academic/personal optimization and IEOR problems, which aligns with the analytical nature of a Data Scientist role. However, the breadth of technologies outside of optimization tools (AMPL, Python) is limited, and there's no clear indication of collaborative project work or industry-standard data science tools/workflows.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric or English test scores are available, and project descriptions are brief.