Rajeev Kumar Singh

Data Scientist

https://www.opentalent.in/rajeev-kumar-singh-1

Technical Analyst

Coforge Ltd

Key Strengths

Demonstrated interest in Data Science and Generative AI through personal projects (Generative-AI, RAG-EVAL, MLOps).
Experience with Python, a core language for Data Science.
Exposure to MLOps concepts, indicating an understanding of deployment and lifecycle management for ML models.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a breadth of interest across web development (HTML, CSS, JavaScript, PHP), mobile development (Java, Android), and data science/ML (Python, Jupyter Notebook, Generative AI, MLOps). This diversity suggests adaptability and a willingness to explore different technical domains. However, the current experience is listed as 'Data Scientist' at Coforge Ltd starting in 2026, which is in the future, making it difficult to assess current professional alignment. The personal projects align with the target role of Data Scientist, indicating a proactive learning approach.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.

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Assessing your cultural and operational fit

Projects

RAG-EVAL

May 24, 2025 – May 26, 2025

RAG-EVAL — GitHub repository

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FastAPI-Tutorials

May 18, 2025 – May 24, 2025

FastAPI-Tutorials

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MLOps

March 27, 2024 – March 27, 2024

A learning repo for mlops

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Generative-AI

September 9, 2023 – May 1, 2025

Generative AI (Large Language Models)

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Udacity

April 8, 2020 – May 2, 2020

Deep Learning Nanodegree

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BuddyChat

September 25, 2017 – January 9, 2018

BuddyChat — GitHub repository

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WebArea

March 26, 2017 – October 17, 2017

Website

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rajeeviiit.github.io

March 3, 2017 – October 28, 2017

Portfolio

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AndroidProject

August 28, 2016 – March 21, 2018

ListView

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Project

August 12, 2016 – November 18, 2017

Project — GitHub repository

View Project

Key Strengths

Demonstrated interest in Data Science and Generative AI through personal projects (Generative-AI, RAG-EVAL, MLOps).
Experience with Python, a core language for Data Science.
Exposure to MLOps concepts, indicating an understanding of deployment and lifecycle management for ML models.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.

Rajeev Kumar Singh

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit