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Tushar Rathod | Gravity Talent Portal

Tushar Rathod

Tushar Rathod

Data Scientist

https://talent.gravityer.com/tushar-rathod

Pune, Maharashtra, IndiaMember since June 16, 2026

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

https://talent.gravityer.com/tushar-rathod

Top Skills

Jupyter NotebookHTMLCSSPython

Skills

Jupyter NotebookHTMLCSSPython

Projects

Glass_Quality_Prediction

November 1, 2020 – November 1, 2020

Glass_Quality_Prediction — GitHub repository

TumorSize_Prediction

November 1, 2020 – November 1, 2020

TumorSize_Prediction — GitHub repository

Clustering-Algorithms

November 1, 2020 – November 1, 2020

Clustering-Algorithms — GitHub repository

Association-Rule-Mining

November 1, 2020 – November 1, 2020

Association-Rule-Mining — GitHub repository

Used-Car-Price-Prediction

November 1, 2020 – November 1, 2020

Used-Car-Price-Prediction — GitHub repository

Resolvr20-Competition

September 11, 2020 – September 21, 2020

Resolvr20-Competition — GitHub repository

Time-Series

September 9, 2020 – September 9, 2020

Time-Series — GitHub repository

IPL-First-Innings-Score-Prediction-Deployment

July 16, 2020 – March 20, 2021

IPL-First-Innings-Score-Prediction-Deployment — GitHub repository

Car-Price-Prediction-master

July 12, 2020 – July 12, 2020

Car-Price-Prediction-master — GitHub repository

Starbucks-Challenge

May 3, 2020 – May 3, 2020

Starbucks-Challenge — GitHub repository

Key Strengths

Demonstrated interest in Data Science through multiple personal projects.
Experience with Jupyter Notebook for data analysis and model development.
Exposure to various machine learning tasks such as time-series prediction, clustering, and regression.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal GitHub repositories, indicating self-driven learning and initiative. The diversity of project topics (e.g., sports prediction, medical prediction, car price prediction) suggests a broad interest within data science. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative environment.

Soft Skills & Operational Fit

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