Subhadeep Mondal

Data Scientist

https://talent.gravityer.com/subhadeep-mondal

Software Engineer | Computer Vision • Embedded Systems • REST APIs C/C++ • Python • MCU-based systems • Image Processing

Tata Consultancy Services

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects (e.g., End-to-End-RAG-on-Real-Documents, Autoencoders-Variational-Autoencoders).
Proficiency in Python, a core language for Data Science.
Experience with various data compression techniques (e.g., csar-compress, jpeg-compression, H.264-Inspired-Video-Compression-System-I-P-Frames-).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a breadth of technical interests beyond core data science, including mobile development (Dart, Swift, Kotlin) and embedded systems (C++). While this indicates curiosity, it also suggests a potentially broad focus rather than deep specialization in Data Science. The single professional experience listed as 'current' with a future start date (2026) makes it difficult to assess current professional alignment or cultural fit within a typical work environment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

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

csar-compress

April 26, 2026 – Present

csar-compress — GitHub repository

View Project

bharatscan

April 20, 2026 – Present

bharatscan — GitHub repository

View Project

End-to-End-RAG-on-Real-Documents

March 31, 2026 – Present

GEN-AI

View Project

H.264-Inspired-Video-Compression-System-I-P-Frames-

March 12, 2026 – Present

H.264-Inspired-Video-Compression-System-I-P-Frames- — GitHub repository

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Autoencoders-Variational-Autoencoders

March 4, 2026 – Present

Autoencoders-Variational-Autoencoders — GitHub repository

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image_processing_codes

March 1, 2026 – Present

A repo where all image processing codes are kept

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Cyborgop

February 14, 2026 – Present

Cyborgop — GitHub repository

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jpeg-compression

December 14, 2025 – Present

jpeg-compression done using python

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Digital-Assets-API

December 14, 2025 – December 14, 2025

Digital-Assets-API — GitHub repository

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Microcontroller-Datasheet-App

October 2, 2025 – Present

Microcontroller-Datasheet-App — GitHub repository

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects (e.g., End-to-End-RAG-on-Real-Documents, Autoencoders-Variational-Autoencoders).
Proficiency in Python, a core language for Data Science.
Experience with various data compression techniques (e.g., csar-compress, jpeg-compression, H.264-Inspired-Video-Compression-System-I-P-Frames-).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

Subhadeep Mondal

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit