Pravith S Upadhyaya

Data Scientist

https://talent.gravityer.com/pravith-s-upadhyaya

Bengaluru, Karnataka, IndiaMember since June 16, 2026

Key Strengths

Demonstrated interest in Data Science through personal projects like K_Means, Random-Forest, Logistic-Regression, and Linear-Regression.
Familiarity with Python and Jupyter Notebook for data science tasks.
Exposure to various programming languages including Python, TypeScript, C++, JavaScript, HTML, and CSS.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate shows a proactive approach through multiple personal projects, indicating self-motivation and a willingness to learn. The diversity of projects, while not all directly data science-related, suggests a broad interest in technology. However, the lack of detailed descriptions for most projects makes it difficult to fully assess the depth of engagement or collaborative potential. The target role is Data Scientist, and several projects align with this, demonstrating a focused interest.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, indicating no completion or data available.

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Projects

Major_Project

April 9, 2026 – Present

Major_Project — GitHub repository

View Project

Portfolio

March 30, 2026 – Present

Portfolio — GitHub repository

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SafeRoute_AI

March 5, 2026 – Present

SafeRoute_AI — GitHub repository

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Indolingo

October 28, 2025 – October 28, 2025

Indolingo — GitHub repository

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LaunchED-Major-Project

October 24, 2025 – October 25, 2025

LaunchED-Major-Project — GitHub repository

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K_Means

October 20, 2025 – October 20, 2025

K_Means — GitHub repository

View Project

Random-Forest

October 1, 2025 – Present

Random-Forest — GitHub repository

View Project

Logistic-Regression

September 30, 2025 – September 30, 2025

Logistic-Regression — GitHub repository

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Linear-Regression

September 30, 2025 – September 30, 2025

Linear-Regression — GitHub repository

View Project

PRAVITH10

September 17, 2025 – Present

PRAVITH10 — GitHub repository

View Project

Key Strengths

Demonstrated interest in Data Science through personal projects like K_Means, Random-Forest, Logistic-Regression, and Linear-Regression.
Familiarity with Python and Jupyter Notebook for data science tasks.
Exposure to various programming languages including Python, TypeScript, C++, JavaScript, HTML, and CSS.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, indicating no completion or data available.

Pravith S Upadhyaya

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit