Ramkumar K R

Data Scientist

https://talent.gravityer.com/ramkumar-k-r

Amrita Vishwa Vidyapeetham, Coimbatore

Key Strengths

Demonstrated proficiency in Python, a core language for Data Science.
Experience with Jupyter Notebooks, essential for data exploration and model development.
Multiple personal projects related to AI/ML (e.g., Metis, venturematch-ai, BOB-SRE, ProcurAI, Graph-RAG, Scientific-Peer-Reviewer) indicate strong interest and foundational knowledge in the Data Scientist domain.
Exposure to Docker and CI/CD concepts (two-tier-fastapi-app-cicd) suggests an understanding of deployment and MLOps principles, which are valuable for a senior Data Scientist.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and demonstrate a strong initiative in exploring various AI/ML applications. However, the listed experience shows a current role as 'Data Scientist' starting in 2026, which is in the future, and an experience level of 0. This discrepancy, along with the lack of detailed professional experience, makes it difficult to fully assess cultural fit and real-world collaboration experience. The project diversity is good, but the alignment with a senior Data Scientist role is limited by the lack of professional experience.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

three-tier-fullstack-app-eks

June 4, 2026 – Present

three-tier-fullstack-app-eks — GitHub repository

View Project

Metis

May 29, 2026 – Present

Flipkart Gridlock 2.0

View Project

two-tier-fastapi-app-cicd

May 21, 2026 – Present

CI/CD Pipeline for 2-Tier Fastapi App using AWS, Jenkins & Docker

View Project

venturematch-ai

May 19, 2026 – Present

venturematch-ai — GitHub repository

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BOB-SRE

May 15, 2026 – Present

Bob-SRE: AI-Powered Autonomous Reliability Engineer

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Graph-RAG

April 30, 2026 – Present

BiomedKG RAG Benchmark Suite

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Scientific-Peer-Reviewer

April 25, 2026 – Present

Automated Scientific Paper Review & Flaw Detection Environment

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ProcurAI

April 22, 2026 – Present

ProcurAI — GitHub repository

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Gurusetu-frontend

December 10, 2025 – Present

GuruSetu - Bridge to the Guru

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Gurusetu-backend

December 3, 2025 – Present

GuruSetu - Bridge to the Guru

View Project

Key Strengths

Demonstrated proficiency in Python, a core language for Data Science.
Experience with Jupyter Notebooks, essential for data exploration and model development.
Multiple personal projects related to AI/ML (e.g., Metis, venturematch-ai, BOB-SRE, ProcurAI, Graph-RAG, Scientific-Peer-Reviewer) indicate strong interest and foundational knowledge in the Data Scientist domain.
Exposure to Docker and CI/CD concepts (two-tier-fastapi-app-cicd) suggests an understanding of deployment and MLOps principles, which are valuable for a senior Data Scientist.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

Ramkumar K R

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit