Aritro Pal Choudhury

Data Scientist

https://talent.gravityer.com/aritro-pal-choudhury

Research @ISI-Kolkata

Kolkata, West Bengal, India

Key Strengths

Demonstrated interest in Machine Learning through Coursera assignments and personal projects (ArtGAN, Reverse-Classroom-ML).
Experience with Python and Jupyter Notebook, which are foundational for Data Science.
Exposure to web scraping (Kanoon-crawler) which can be relevant for data acquisition.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate shows a diverse range of personal projects, indicating curiosity and self-driven learning. Projects span web development, system configurations, and machine learning. This breadth suggests adaptability, but without professional experience or team-based projects, it's difficult to assess collaboration or specific cultural fit for a Data Scientist role.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, and there are no completed psychometric or English tests.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

aritropc.github.io

January 14, 2026 – Present

aritropc.github.io — GitHub repository

View Project

ArtGAN

April 11, 2022 – April 18, 2022

Generation of Abstract art using GAN

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i3-configs

November 23, 2021 – October 19, 2023

i3-gaps and other configs

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Kanoon-crawler

November 1, 2021 – October 29, 2022

A web crawler to scrape documents from https://indiankanoon.org/

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Reverse-Classroom-ML

October 29, 2021 – November 4, 2021

Reverse-Classroom-ML — GitHub repository

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Coursera-Machine-Learning

April 14, 2021 – August 25, 2021

Machine Learning by Andrew Ng assignments

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Julia-on-Google-Colab

January 21, 2021 – January 20, 2022

Installs Julia on Google Colab

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ZDS-Project-1

August 29, 2020 – September 29, 2020

ZDS-Project-1 — GitHub repository

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iccaes

July 24, 2020 – August 22, 2020

Chemistry Conference 2020

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Smart-Attendance

May 18, 2020 – May 18, 2020

Smart-Attendance — GitHub repository

View Project

Key Strengths

Demonstrated interest in Machine Learning through Coursera assignments and personal projects (ArtGAN, Reverse-Classroom-ML).
Experience with Python and Jupyter Notebook, which are foundational for Data Science.
Exposure to web scraping (Kanoon-crawler) which can be relevant for data acquisition.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, and there are no completed psychometric or English tests.

Aritro Pal Choudhury

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit