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Sarveshwaran | Gravity Talent Portal

Sarveshwaran

Sarveshwaran

Data Scientist

https://talent.gravityer.com/sarveshwaran

Skilled in Data Science, Generative AI and NLP. A data scientist by profession

Chennai, Tamil Nadu, 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 16, 2026

https://talent.gravityer.com/sarveshwaran

Top Skills

Jupyter NotebookPythonR

Skills

Jupyter NotebookPythonR

Projects

learnwithsarvesh-resources

December 8, 2025 – Present

General

Agents

March 8, 2025 – March 14, 2025

Agents — GitHub repository

FWAI_Python

February 28, 2025 – March 1, 2025

Python Files

Retrieval-Strategies

January 28, 2025 – February 4, 2025

Retrieval Strategies for RAG

Chunking-Strategies

December 27, 2024 – July 7, 2025

Chunking-Strategies — GitHub repository

Python_FAI

October 13, 2024 – April 6, 2025

Python_FAI — GitHub repository

Prompting-Techniques

February 17, 2024 – February 17, 2024

Prompting-Techniques — GitHub repository

Resume-Parser-Using-NER

January 15, 2024 – January 15, 2024

Resume-Parser-Using-NER — GitHub repository

Supply-Chain-and-Logistics-Analytics

October 16, 2018 – October 16, 2018

Supply-Chain-and-Logistics-Analytics — GitHub repository

Finance-and-Risk-Analytics

October 15, 2018 – October 15, 2018

To provide complete workflow from Inferential Analytics, Predictive Analytics, Prescriptive Analytics and Evaluate the performance of prescriptions

Key Strengths

Demonstrated interest in Data Science and AI/ML through personal projects.
Experience with Python and Jupyter Notebook for data-related tasks.
Exposure to various AI/ML concepts like RAG, Prompting Techniques, and NER.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show initiative and a self-driven learning approach, which can be a positive cultural fit. The diversity of projects, while focused on Data Science, indicates a willingness to explore different sub-domains. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit.

Soft Skills & Operational Fit

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