Arpit Parekh

Data Scientist

https://talent.gravityer.com/arpit-parekh

Member since June 24, 2026

Key Strengths

Exposure to Python, a core language for Data Science.
Experience with AI/ML concepts demonstrated by 'ai_stock_sentiment_analysis' project.
Familiarity with Jupyter Notebook, a common tool in data science workflows.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate demonstrates a proactive learning attitude through numerous personal projects across various technologies (Python, JavaScript, Java). The 'ai_stock_sentiment_analysis' project aligns well with the target role of Data Scientist, indicating an interest in the domain. The diversity of projects suggests adaptability and a willingness to explore different areas, which can be a positive cultural fit for dynamic environments.

Soft Skills & Operational Fit

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

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

learning_12

April 24, 2026 – Present

learning_12 — repository

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ai_stock_sentiment_analysis

April 25, 2025 – May 1, 2025

A project for predicting whether to buy, hold or sell the stock.

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library-management-backend

October 22, 2024 – November 25, 2024

This is a repo for backend

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library-management-frontend

October 22, 2024 – November 25, 2024

This is the repository for frontend

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POCBackendPython

October 19, 2024 – October 21, 2024

POCBackendPython — repository

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POCbackend

October 16, 2024 – October 16, 2024

This is a POC and its backend

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POCfrontend

October 16, 2024 – October 21, 2024

This is a POC and this its frontend code

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student-management-system

October 6, 2024 – October 6, 2024

student-management-system — repository

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learning2

August 24, 2023 – July 17, 2024

learning2 — repository

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learning

July 5, 2023 – January 14, 2025

learning — repository

View Project

Key Strengths

Exposure to Python, a core language for Data Science.
Experience with AI/ML concepts demonstrated by 'ai_stock_sentiment_analysis' project.
Familiarity with Jupyter Notebook, a common tool in data science workflows.

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 provided.

Arpit Parekh

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit