Debanjan Chatterjee

Data Scientist

https://talent.gravityer.com/debanjan-chatterjee

Software Developer at Oracle. CSE @ IIT Kanpur. Interests: Machine Learning, Software Engineering.

Kolkata, West Bengal, India

Key Strengths

Demonstrated interest in AI/ML through multiple personal projects (agentic-ops, smartrate, fake-review-detection-models, CS690-Tuberculosis-Drug-Resistance-Classification, music-genre-classification-using-hierarchial-lstm).
Proficiency in Python, a core language for Data Science.
Experience with Jupyter Notebooks, a standard tool for data exploration and model development.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show initiative and a self-driven learning approach, which can be a positive cultural fit. The diversity of AI/ML projects suggests an exploratory mindset. However, without professional experience or detailed project descriptions, it's difficult to fully assess alignment with a collaborative, production-oriented environment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or 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

agentic-ops

February 5, 2026 – Present

AI Agents for DevOps

View Project

sentinelflow

February 2, 2026 – Present

sentinelflow — GitHub repository

View Project

smartrate

January 23, 2026 – Present

AI-Assisted Distributed Rate Limiting Platform

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lld-agent-buddy

December 23, 2025 – Present

lld-agent-buddy — GitHub repository

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debanjanchatterjee

July 22, 2025 – July 22, 2025

README

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readme.md

July 22, 2025 – July 22, 2025

readme.md — GitHub repository

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applied-ds-algo

June 2, 2025 – Present

applied-ds-algo — GitHub repository

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fake-review-detection-models

May 7, 2021 – August 2, 2021

fake-review-detection-models — GitHub repository

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music-genre-classification-using-hierarchial-lstm

March 29, 2021 – March 29, 2021

CS771 course project (Fall 2020)

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CS690-Tuberculosis-Drug-Resistance-Classification

September 24, 2020 – October 15, 2020

CS690-Tuberculosis-Drug-Resistance-Classification — GitHub repository

View Project

Key Strengths

Demonstrated interest in AI/ML through multiple personal projects (agentic-ops, smartrate, fake-review-detection-models, CS690-Tuberculosis-Drug-Resistance-Classification, music-genre-classification-using-hierarchial-lstm).
Proficiency in Python, a core language for Data Science.
Experience with Jupyter Notebooks, a standard tool for data exploration and model development.

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.

Debanjan Chatterjee

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit