Key Strengths

Demonstrated interest in Data Science through multiple personal projects, including EDA and LLM applications.
Experience with Python and Jupyter Notebook for data analysis and machine learning tasks.
Exposure to RAG approach with OpenAI's GPT models, indicating familiarity with modern NLP techniques.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal learning and exploration in data science. However, the projects are predominantly individual and academic/exploratory in nature, with limited evidence of collaborative work or production-grade system development. The single professional experience entry as 'Data Scientist' at EPAM with a future start date (2026) and no end date, marked as 'isCurrent', suggests a potential data entry error or a very early career stage, which impacts the assessment of cultural fit for a senior role. The breadth of technologies beyond Python/Jupyter Notebook is limited.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric or English test scores are available.

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Vijit Singh

Data Scientist

https://www.opentalent.in/vijit-singh-1

Machine Learning is senzu beans! 🫘

EPAM

indiaMember since June 12, 2026

https://www.opentalent.in/vijit-singh-1

Top Skills

Jupyter NotebookPythonC++Cython

Skills

Jupyter NotebookPythonC++Cython

Experience

EPAM

Data Scientist

June 12, 2026 – Present

Projects

expense-tracking-MCP-Server

December 4, 2025 – December 4, 2025

expense tracking mcp server

View Project

ColPali_RAG

May 25, 2025 – May 25, 2025

ColPali_RAG — GitHub repository

View Project

Document-QnA-LLM

March 10, 2024 – March 18, 2024

The App is an advanced question-answering platform that allows users to upload text documents and receive answers to their queries based on the content of these documents. Utilizing RAG approach powered by OpenAI's GPT models, the app provides insightful and contextually relevant answers.

Key Strengths

Demonstrated interest in Data Science through multiple personal projects, including EDA and LLM applications.
Experience with Python and Jupyter Notebook for data analysis and machine learning tasks.
Exposure to RAG approach with OpenAI's GPT models, indicating familiarity with modern NLP techniques.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric or English test scores are available.