Sagnik Banerjee

Data Scientist

https://www.opentalent.in/sagnik-banerjee-1

Microsoft

Key Strengths

Demonstrated experience with Python for data science projects.
Proficiency in Jupyter Notebook for data analysis and model development.
Exposure to various machine learning and NLP applications (e.g., RAG, Credit Card Fraud Detection, Automatic Ticket Classification, Hand Gesture Recognition).
Experience with Azure OpenAI and Azure Storage, indicating cloud and AI service familiarity.
Current role as Data Scientist at Microsoft aligns directly with the target role.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong focus on data science and machine learning, which aligns well with a Data Scientist role. However, the projects are predominantly personal GitHub repositories, and the single professional experience entry lacks detailed skill descriptions, making it difficult to fully assess cultural fit beyond technical alignment. The presence of a 'SheReboot' project with web technologies (typescript, JavaScript, CSS) indicates some breadth beyond core data science, but the primary focus remains consistent.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, indicating no completed assessment.

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Projects

project_nova

June 11, 2026 – Present

project_nova — GitHub repository

View Project

SheReboot

October 13, 2025 – October 13, 2025

SheReboot — GitHub repository

View Project

SwingTradeProject

May 22, 2025 – October 13, 2025

SwingTradeProject — GitHub repository

View Project

pdf-text-extraction

April 20, 2025 – April 21, 2025

pdf-text-extraction — GitHub repository

View Project

Retrieval-Augmented-Generation-RAG-using-Azure-OpenAI

April 7, 2025 – May 4, 2025

Retrieval-Augmented-Generation-RAG-using-Azure-OpenAI — GitHub repository

View Project

IndexerwithAzureStorageSampleCode

January 9, 2025 – December 3, 2025

IndexerwithAzureStorageSampleCode — GitHub repository

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Credit-Card-Fraud-Detection-Capstone-Project

May 17, 2024 – May 17, 2024

Credit-Card-Fraud-Detection-Capstone-Project — GitHub repository

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NLP-Case-Study---Automatic-Ticket-Classification

January 10, 2024 – January 10, 2024

NLP-Case-Study---Automatic-Ticket-Classification — GitHub repository

View Project

Syntactic-Processing

December 11, 2023 – December 11, 2023

Syntactic-Processing — GitHub repository

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Hand-Gesture-Recognition-Deep-Learning

October 28, 2023 – November 8, 2023

Hand-Gesture-Recognition-Deep-Learning — GitHub repository

View Project

Key Strengths

Demonstrated experience with Python for data science projects.
Proficiency in Jupyter Notebook for data analysis and model development.
Exposure to various machine learning and NLP applications (e.g., RAG, Credit Card Fraud Detection, Automatic Ticket Classification, Hand Gesture Recognition).
Experience with Azure OpenAI and Azure Storage, indicating cloud and AI service familiarity.
Current role as Data Scientist at Microsoft aligns directly with the target role.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, indicating no completed assessment.

Sagnik Banerjee

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit