Harsh Agarwal

Data Scientist

https://talent.gravityer.com/harsh-agarwal-8

Engineer | Designer | Developer

IndiaMember since June 22, 2026

Key Strengths

Candidate has personal projects demonstrating exposure to various programming languages like Java, C++, HTML, CSS, and JavaScript.
Experience with Jupyter Notebook suggests familiarity with data science tools, aligning with the 'Data Scientist' target role.
Projects like 'ML-with-Python' indicate an interest in machine learning.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate demonstrates a proactive learning attitude through numerous personal projects across different technologies. The diversity of projects, including competitive programming ('AtCoder') and web development, suggests adaptability and a willingness to explore various technical domains. The 'ML-with-Python' project directly aligns with the target role of Data Scientist, indicating a focused interest.

Soft Skills & Operational Fit

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

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Projects

learning-feature

December 22, 2024 – December 22, 2024

learning-feature — repository

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learning-main

December 22, 2024 – December 22, 2024

learning-main — repository

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AtCoder

June 29, 2024 – June 29, 2024

AtCoder — repository

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hra06

February 6, 2022 – February 6, 2022

Config files for my GitHub profile.

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Apatsu-Frontend-1.0

August 19, 2020 – August 19, 2020

Apatsu-Frontend-1.0 — repository

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ML-with-Python

July 4, 2020 – July 23, 2020

ML-with-Python — repository

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Apatsu

June 25, 2020 – December 13, 2022

Apatsu — repository

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Data-Structures-Using-Cpp

June 25, 2020 – July 3, 2020

All the problems which i code while learning Data strucutures WIth C++

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codial

June 5, 2020 – December 22, 2022

codial — repository

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Task-Manager

June 4, 2020 – June 5, 2020

Task-Manager — repository

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Key Strengths

Candidate has personal projects demonstrating exposure to various programming languages like Java, C++, HTML, CSS, and JavaScript.
Experience with Jupyter Notebook suggests familiarity with data science tools, aligning with the 'Data Scientist' target role.
Projects like 'ML-with-Python' indicate an interest in machine learning.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Harsh Agarwal

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit