Kunal Chakrabarty

Data Scientist

https://talent.gravityer.com/kunal-chakrabarty

Kolkata, West Bengal, IndiaMember since June 16, 2026

Key Strengths

Demonstrated proficiency in Python for scripting and backend development.
Experience with distributed systems concepts (replication, caching, consistency, fault tolerance) through the Pygmy project.
Familiarity with machine learning concepts like transfer learning and object detection using Jupyter Notebook.
Exposure to containerization with Dockerfile.
Active participation in competitive programming (LeetCode-Solutions).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio indicates a strong inclination towards personal projects and self-learning, which can be a positive for cultural fit in a self-driven environment. However, the projects are predominantly academic or personal, with no clear indication of collaborative team environments or industry experience. The target role is 'Data Scientist', and while there are ML-related projects, the overall portfolio leans more towards general software development and distributed systems. This suggests a potential misalignment with the specific demands of a dedicated Data Scientist role without further validation.

Soft Skills & Operational Fit

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

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

fetch-backend-task

February 10, 2024 – February 11, 2024

Solution for fetch's backend take home test

View Project

LeetCode-Solutions

November 26, 2022 – May 6, 2024

Collection of LeetCode questions to ace the coding interview! - Created using [LeetHub](https://github.com/QasimWani/LeetHub)

View Project

Book-Store

April 18, 2021 – April 20, 2021

Book-Store — GitHub repository

View Project

Online-Book-Store-Pygmy.com-V2.0

April 12, 2021 – May 1, 2021

This repository implements Pygmy, an Online Book Retail Shop which explores various concepts of distributed systems such as replication, caching, consistency, and fault tolerance. The code contained in the repository was developed as a part of the 677 course at UMass Amherst in Spring 2021.

View Project

Online-Book-Store-Pygmy.com-V1.0

March 21, 2021 – May 27, 2021

This repository contains a client-server architecture that uses RestAPI for implementing an online book store. Flask is used as the framework to achieve the same.

View Project

JavaP2PRMI

February 23, 2021 – April 2, 2021

JavaP2PRMI — GitHub repository

View Project

proct19

October 10, 2019 – October 10, 2019

proct19 — GitHub repository

View Project

realtimeobject

November 19, 2018 – November 19, 2018

real time object detection with inceptionv3

View Project

colorectalhistology

November 17, 2018 – November 17, 2018

transfer learning with vgg16 on Kaggle dataset

View Project

NewNotices

November 5, 2017 – November 9, 2017

Python script to send notifications when there is an unread notice on the KGEC website

View Project

Key Strengths

Demonstrated proficiency in Python for scripting and backend development.
Experience with distributed systems concepts (replication, caching, consistency, fault tolerance) through the Pygmy project.
Familiarity with machine learning concepts like transfer learning and object detection using Jupyter Notebook.
Exposure to containerization with Dockerfile.
Active participation in competitive programming (LeetCode-Solutions).

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.

Kunal Chakrabarty

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit