Priya Chaurasia

Data Scientist

https://talent.gravityer.com/priya-chaurasia

New Delhi, Delhi, IndiaMember since June 19, 2026

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'ARANYA-DRISHTI', 'House-Price-Prediction', and 'ML_projects'.
Experience with Python and Jupyter Notebook, which are fundamental tools in Data Science.
Exposure to various programming languages (Python, Dart, C++, TypeScript, JavaScript) indicates versatility.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a breadth of interests, including mobile development, web development, and machine learning. While this indicates curiosity, the direct alignment with a senior Data Scientist role is limited due to the lack of professional experience and depth in data science specific projects. The projects are primarily personal and may not reflect collaborative or production-level work.

Soft Skills & Operational Fit

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

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Projects

ML_projects

March 29, 2026 – Present

ML_projects — GitHub repository

View Project

completely-wrong-dob-guesser

December 24, 2025 – Present

completely-wrong-dob-guesser — GitHub repository

View Project

pawme_mobile

November 17, 2025 – Present

Flutter mobile app for pawme

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DFRobot

September 5, 2025 – September 5, 2025

DFRobot ESP32-S3 Camera board

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ARANYA-DRISHTI

September 4, 2025 – October 15, 2025

ARANYA-DRISHTI — GitHub repository

View Project

Resume_Matcher_iosc

August 10, 2025 – August 11, 2025

Resume_Matcher_iosc — GitHub repository

View Project

Resume_Matcher

July 25, 2025 – July 25, 2025

Resume_Matcher — GitHub repository

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Weather_App

July 20, 2025 – July 20, 2025

Weather_App — GitHub repository

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CarbonPay

July 5, 2025 – July 5, 2025

CarbonPay — GitHub repository

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House-Price-Prediction

October 20, 2024 – October 20, 2024

House-Price-Prediction — GitHub repository

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'ARANYA-DRISHTI', 'House-Price-Prediction', and 'ML_projects'.
Experience with Python and Jupyter Notebook, which are fundamental tools in Data Science.
Exposure to various programming languages (Python, Dart, C++, TypeScript, JavaScript) indicates versatility.

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.

Priya Chaurasia

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit