Yogeshkumar R

Data Scientist

https://talent.gravityer.com/yogeshkumar-r

I am a passionate Generative AI Engineer with expertise in building intelligent systems and solutions.

Virtusa

Key Strengths

Exposure to Python for data-related projects.
Experience with machine learning concepts (K-Means, RandomForest) using PySpark.
Demonstrated interest in data science applications through personal projects like Sentimental Analysis and Retail Insights.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong inclination towards data science and machine learning, which aligns with the target role. The diversity of projects, though personal, indicates a proactive learning attitude. However, the descriptions are very brief, making it hard to fully gauge the depth of involvement or collaborative experience. The single current professional experience as 'Data Scientist' at Virtusa is a positive indicator for role alignment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 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

retail-insights-assistant

February 19, 2026 – Present

retail-insights-assistant — GitHub repository

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AlgoNauts-Autonomous-Pricing-Engine

February 14, 2026 – Present

AlgoNauts-Autonomous-Pricing-Engine — GitHub repository

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Clinical-Supply-Chain-Control-Tower

December 23, 2025 – Present

Clinical-Supply-Chain-Control-Tower — GitHub repository

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Yogeshkumar-R.github.io

December 1, 2025 – Present

Yogeshkumar-R.github.io — GitHub repository

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Yogeshkumar-R

October 28, 2024 – Present

Yogeshkumar-R — GitHub repository

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Neo4j-Python-ChatBot

October 16, 2024 – December 7, 2025

Neo4j-Python-ChatBot — GitHub repository

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Sentimental-Analysis-Streamlit

April 10, 2024 – March 20, 2025

Sentimental-Analysis using Streamlit

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K-Means-Clustering-PySpark

February 29, 2024 – February 29, 2024

K-Means-Clustering-PySpark — GitHub repository

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RandomForest-Classifier-PySpark

February 28, 2024 – February 28, 2024

RandomForest-Classifier-PySpark — GitHub repository

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Simple_Calculator

August 14, 2020 – April 4, 2023

This repository is created for the purpose of learning git commands.

View Project

Key Strengths

Exposure to Python for data-related projects.
Experience with machine learning concepts (K-Means, RandomForest) using PySpark.
Demonstrated interest in data science applications through personal projects like Sentimental Analysis and Retail Insights.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insights.

Yogeshkumar R

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit