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Santosh Sinduja S | Gravity Talent Portal

Santosh Sinduja S

Santosh Sinduja S

Data Scientist

https://talent.gravityer.com/santosh-sinduja-s

IIITDM Kancheepuram

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

India

Member since June 13, 2026

https://talent.gravityer.com/santosh-sinduja-s

Top Skills

PythonC++TeXFortranJupyter NotebookJavaScriptHTMLCSSPHPAssemblyMakefile

Skills

PythonC++TeXFortranJupyter NotebookJavaScriptHTMLCSSPHPAssemblyMakefile

Experience

IIITDM Kancheepuram

Data Scientist

June 13, 2026 – Present

Projects

computer-vision

August 19, 2021 – January 4, 2022

computer-vision — GitHub repository

pacman

November 15, 2020 – December 6, 2020

pacman — GitHub repository

Resources

September 29, 2020 – September 25, 2021

Resources

Chrome-Extensions

April 2, 2020 – April 7, 2020

Simple Browser action Chrome extensions

Intern-InfoSystem

April 2, 2020 – April 2, 2020

Web Application for managing intern’s bio data, attendance, certificates and project report.

Computer-Organization-Lab

April 2, 2020 – April 2, 2020

Codes done as part of the Computer Organization and Design Practice Lab, IIITDM Kancheepuram (Semester IV)

Algorithm-Design-Lab

April 1, 2020 – April 17, 2020

Codes done as part of Object Oriented Algorithm Design and Analysis Practice Lab, IIITDM Kancheepuram (Semester IV)

automatic-eureka

March 31, 2020 – March 31, 2020

my first repository

DAA-LAB-CODES

February 27, 2020 – April 2, 2020

Design and Analysis of algorithms Lab exercises

Useful-Academic-Links

October 7, 2019 – March 12, 2024

This repo has some usefull links to websites for topics, please fork add and generate a pull-request to join the party

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 computer vision through a dedicated project.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a diverse range of interests, from web development (PHP, JavaScript) to low-level programming (Assembly, C++). While this indicates a broad technical curiosity, the direct alignment with a 'Data Scientist' role is limited to a few projects (e.g., 'computer-vision', 'Resources' with Python). The 'Useful-Academic-Links' and 'Resources' projects suggest a collaborative and knowledge-sharing mindset, which could be a positive cultural fit. However, the overall project portfolio does not strongly emphasize data science methodologies, tools, or problem-solving approaches beyond basic programming and computer vision.

Soft Skills & Operational Fit

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