Rahul Vijayakumar

Data Scientist

https://talent.gravityer.com/rahul-vijayakumar

Member since June 27, 2026

Key Strengths

Demonstrated interest in data science and machine learning through the 'answer-evaluation' project.
Experience with Python and Jupyter Notebook, which are core tools for Data Scientists.
Exposure to Docker, indicating some understanding of containerization and deployment, which can be beneficial for MLOps.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a diverse interest in various technologies (Python, JavaScript, Go, Docker, HTML/CSS). The 'answer-evaluation' project aligns with the Data Scientist role, indicating a potential fit. The breadth of technologies suggests adaptability and a willingness to explore different areas, which can be a positive for cultural fit in a dynamic environment.

Soft Skills & Operational Fit

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

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Assessing your cultural and operational fit

Projects

MovieTeleparty

December 17, 2024 – December 17, 2024

MovieTeleparty — GitHub repository

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TokenCounter-GoBackend

December 16, 2024 – December 16, 2024

TokenCounter-GoBackend — GitHub repository

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codes

April 25, 2024 – May 28, 2024

codes — GitHub repository

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answer-evaluation

April 10, 2024 – May 3, 2024

Capstone project for VIT-C

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mistral7b-api-cuda-docker

December 20, 2023 – December 20, 2023

This is a self contained docker image for Mistral 7B that starts a OpenAI api compatible api server.

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rvk-nginxproxymanager

November 24, 2023 – November 26, 2023

rvk-nginxproxymanager — GitHub repository

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functions

November 6, 2023 – November 7, 2023

functions — GitHub repository

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rahulvk007.github.io

November 1, 2023 – March 12, 2024

Portfolio

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flask-faasd

October 30, 2023 – October 31, 2023

flask-faasd — GitHub repository

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helloworld-ghcr

October 30, 2023 – November 5, 2023

helloworld-ghcr — GitHub repository

View Project

Key Strengths

Demonstrated interest in data science and machine learning through the 'answer-evaluation' project.
Experience with Python and Jupyter Notebook, which are core tools for Data Scientists.
Exposure to Docker, indicating some understanding of containerization and deployment, which can be beneficial for MLOps.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Rahul Vijayakumar

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit