Gokulraaj Vaithiyanathan

Data Scientist

https://talent.gravityer.com/gokulraaj-vaithiyanathan

Chennai, Tamil Nadu, IndiaMember since June 13, 2026

Key Strengths

Exposure to Python for data-related projects (FYP, rapidclaims-hack, logistic-simulator)
Experience with Jupyter Notebook, indicating familiarity with data exploration and analysis environments
Demonstrated initiative through multiple personal projects

Cultural & Operational Fit

Cultural Fit Analysis

The candidate has a diverse set of personal projects, indicating a proactive and self-driven approach. However, the majority of projects are front-end focused (JavaScript, CSS, HTML), which does not directly align with a Data Scientist role. The few Python/Jupyter Notebook projects show some alignment, but more depth in data science specific areas would improve cultural fit for the target role.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

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Projects

wise-voice-agent

March 4, 2026 – Present

wise-voice-agent — GitHub repository

View Project

rapidclaims-hack

December 20, 2025 – Present

rapidclaims-hack — GitHub repository

View Project

logistic-simulator

November 17, 2025 – November 17, 2025

logistic-simulator — GitHub repository

View Project

figma-to-code

February 7, 2023 – February 7, 2023

figma-to-code — GitHub repository

View Project

FYP

January 30, 2023 – January 30, 2023

FYP — GitHub repository

View Project

user-authentication-management-backend

January 22, 2023 – January 22, 2023

user-authentication-management-backend — GitHub repository

View Project

SportsNITT.github.io

September 17, 2021 – April 15, 2024

Official NITT Sports Contingent Website

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search-nearby-city

January 22, 2021 – January 22, 2021

search-nearby-city — GitHub repository

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Happy-Hunt

December 23, 2020 – February 14, 2021

Happy-Hunt — GitHub repository

View Project

start-up

August 7, 2020 – January 18, 2022

start-up — GitHub repository

View Project

Key Strengths

Exposure to Python for data-related projects (FYP, rapidclaims-hack, logistic-simulator)
Experience with Jupyter Notebook, indicating familiarity with data exploration and analysis environments
Demonstrated initiative through multiple personal projects

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

Gokulraaj Vaithiyanathan

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit