Adarsh

Data Scientist

https://talent.gravityer.com/adarsh-4

Data Scientist at Kantar; NIT Trichy'24

IndiaMember since June 13, 2026

Key Strengths

Demonstrated interest in AI/ML through multiple personal projects (e.g., lifepilot, site-discovery-engine, spotify-gnn-recommender, Drowsiness-detection, AI-trash-classifier).
Experience with Python and Jupyter Notebook, which are core tools for Data Scientists.
Exposure to various AI application types, from personal assistants to recommender systems and image classification.
Some experience with deploying ML models (AI-trash-classifier project).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio indicates a strong self-starter and a passion for exploring various AI/ML applications. The projects are diverse in scope, suggesting adaptability and a willingness to learn new domains. However, all projects are personal, which limits insight into team collaboration or professional work environments. The target role is 'Data Scientist', and the projects align well with this domain, indicating a good fit for the technical aspects of the role.

Soft Skills & Operational Fit

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

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

lifepilot

April 21, 2026 – Present

Voice first AI personal assistant - to help with your goals, calendar scheduling, journal, etc.

View Project

codewhisper-browser

April 19, 2026 – Present

codewhisper-browser — GitHub repository

View Project

codewhisper

April 18, 2026 – Present

codewhisper — GitHub repository

View Project

site-discovery-engine

January 15, 2026 – Present

End to end AI application that lets user queries about site information. Interview assignment task for Planso

View Project

spotify-gnn-recommender

July 11, 2023 – July 31, 2023

spotify-gnn-recommender — GitHub repository

View Project

Drowsiness-detection

January 16, 2023 – January 16, 2023

Drowsiness-detection — GitHub repository

View Project

Reliance-Stock-prediction

January 16, 2023 – January 16, 2023

Reliance-Stock-prediction — GitHub repository

View Project

AI-trash-classifier

July 2, 2022 – June 22, 2023

A lite web application that classifies images of trash into respective classes (glass, paper, metal, etc). Learnt how to deploy ML models, built flask app for backend and basic frontend using html, css.

View Project

BackUp-Posture-Detetion

March 14, 2022 – March 28, 2022

Slouch detection software prototype in fixed multi person environment (office, schools, etc). Co-developed with Spider NITT, part of Sangam hackathon

View Project

ml-task-1

January 25, 2022 – January 25, 2022

Spider induction task 1

View Project

Key Strengths

Demonstrated interest in AI/ML through multiple personal projects (e.g., lifepilot, site-discovery-engine, spotify-gnn-recommender, Drowsiness-detection, AI-trash-classifier).
Experience with Python and Jupyter Notebook, which are core tools for Data Scientists.
Exposure to various AI application types, from personal assistants to recommender systems and image classification.
Some experience with deploying ML models (AI-trash-classifier project).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Adarsh

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit