Arpan Biswas

Data Scientist

https://talent.gravityer.com/arpan-biswas-1

IndiaMember since June 25, 2026

Key Strengths

Demonstrated interest in Machine Learning and LLMs through personal projects (DocLLM, LLM_Experiments).
Experience with Python and Jupyter Notebook, which are core tools for Data Scientists.
Exposure to Computer Vision concepts (cv_project).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and demonstrate a self-driven learning approach. The diversity of technologies (Java, Lua, Python, C++, Mathematica, Shell) suggests a broad technical curiosity. However, the descriptions are very brief, making it difficult to fully assess the depth of engagement or collaborative potential. The focus on LLMs and Computer Vision aligns with typical Data Scientist roles, indicating a potential fit.

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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Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

nvim-config

May 5, 2026 – Present

nvim-config — GitHub repository

View Project

markitdown-altpack

March 17, 2025 – March 19, 2025

My set of alternate converters for Markitdown

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mpv-configs

November 28, 2024 – Present

My MPV configs

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DocLLM

July 22, 2024 – October 9, 2024

Open Source implementation of DocLLM

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LLM_Experiments

March 24, 2024 – May 15, 2024

Experiment with various LLM architectures

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GlobeRunner

July 9, 2023 – August 17, 2023

Globe Runner Game for Game Jam

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Speak

March 5, 2023 – March 7, 2023

Speak — GitHub repository

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cv_project

April 12, 2022 – May 9, 2022

Computer Vision Project 2022

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docxfill

March 30, 2022 – March 30, 2022

docxfill — GitHub repository

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wildcard

December 21, 2021 – February 19, 2022

Using permuterm index for wildcard queries in lucene

View Project

Key Strengths

Demonstrated interest in Machine Learning and LLMs through personal projects (DocLLM, LLM_Experiments).
Experience with Python and Jupyter Notebook, which are core tools for Data Scientists.
Exposure to Computer Vision concepts (cv_project).

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.

Arpan Biswas

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit