Agnidhra Sinha

Data Scientist

https://talent.gravityer.com/agnidhra-sinha

Kolkata, West Bengal, IndiaMember since June 16, 2026

Key Strengths

Demonstrated interest in data-related projects (e.g., 'well-test-analysis', 'petroleum-dca', 'task-1-B', 'task-1A').
Experience with Python and Jupyter Notebook, which are core tools for Data Scientists.
Exposure to various programming languages and technologies, indicating adaptability.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a breadth of interests across different technologies and domains, including data analysis and app development. This indicates a proactive and curious mindset. However, the projects are primarily personal and lack detailed descriptions of collaboration or team involvement, making it difficult to fully assess cultural fit in a team environment. The target role is 'Data Scientist', and several projects align with data analysis, suggesting a relevant interest.

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

fipi_convention

March 27, 2026 – Present

A simple app to streamline the 14th Annual FIPI Convention at IIT (ISM), Dhanbad.

View Project

well-test-analysis

March 5, 2026 – Present

well-test-analysis — GitHub repository

View Project

petroleum-dca

March 5, 2026 – Present

petroleum-dca — GitHub repository

View Project

mine-wadhwani

January 22, 2026 – Present

mine-wadhwani — GitHub repository

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voke-ai

January 19, 2026 – Present

voke-ai — GitHub repository

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app-backend

January 12, 2026 – Present

app-backend — GitHub repository

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locofy-website

December 17, 2025 – December 18, 2025

locofy-website — GitHub repository

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task-1-B

July 28, 2025 – July 28, 2025

task-1-B — GitHub repository

View Project

task-1A

July 28, 2025 – July 28, 2025

task-1A — GitHub repository

View Project

atom-mail-hf

April 4, 2025 – April 19, 2025

atom-mail-hf — GitHub repository

View Project

Key Strengths

Demonstrated interest in data-related projects (e.g., 'well-test-analysis', 'petroleum-dca', 'task-1-B', 'task-1A').
Experience with Python and Jupyter Notebook, which are core tools for Data Scientists.
Exposure to various programming languages and technologies, indicating adaptability.

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.

Agnidhra Sinha

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit