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Adhnan Jeff M S | Gravity Talent Portal

Adhnan Jeff M S

Adhnan Jeff M S

Data Scientist

https://talent.gravityer.com/adhnan-jeff-m-s

There is no time to rest, until the code is ready to test!

Coimbatore, 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 20, 2026

https://talent.gravityer.com/adhnan-jeff-m-s

Top Skills

typescriptSCSSHTMLCSSJavaDockerfileShellPythonJavaScriptC++Jupyter NotebookGo

Skills

typescriptSCSSHTMLCSSJavaDockerfileShellPythonJavaScriptC++Jupyter NotebookGo

Projects

sportsAcademy-management-system-ui

February 18, 2026 – Present

sportsAcademy-management-system-ui — GitHub repository

sportsAcademy-management-system

February 8, 2026 – Present

sportsAcademy-management-system — GitHub repository

migration-missing_children-statistics

January 14, 2026 – Present

migration-missing_children-statistics — GitHub repository

autocan-guard

January 7, 2026 – Present

autocan-guard — GitHub repository

split-payment-settlement-system

January 2, 2026 – Present

split-payment-settlement-system — GitHub repository

distributed-notification-management-system

January 1, 2026 – Present

distributed-notification-management-system — GitHub repository

agentic_ai_practice

November 18, 2025 – Present

This is a repository which contains materials and workbooks I have used to learn about Agentic AI guided by Ed Donner

projectfolio

November 1, 2025 – Present

This repo contains projects I have worked on during my clg yrs inorder to horn my development skills in different tech stacks and domains

Meeting-Room-Booking-System

September 14, 2025 – Present

Meeting-Room-Booking-System — GitHub repository

Angular-Training

August 25, 2025 – September 10, 2025

Angular-Training — GitHub repository

Key Strengths

Exposure to Python, a core language for Data Science.
Experience with Jupyter Notebook, a common tool in data science workflows.
Demonstrated interest in AI/ML through the 'agentic_ai_practice' project.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a broad interest in various technologies (Python, Java, C++, TypeScript, HTML/CSS) and domains (management systems, data analysis, AI). This breadth suggests adaptability and a willingness to explore different areas. However, the depth of experience in data science specific projects is limited, which might impact direct cultural fit for a specialized Data Scientist role without further validation.

Soft Skills & Operational Fit

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