Kuldeep Singh Prajapati

Data Scientist

https://www.opentalent.in/kuldeep-singh-prajapati

Delhi, IndiaMember since June 25, 2026

Key Strengths

Demonstrated interest in Data Science and MLOps through personal projects like 'Location_Weather_Agent', 'end_to_end_object_detection', and 'MLOps-Learning'.
Experience with Python, a core language for Data Science.
Exposure to tools like LangChain, LangGraph, Ollama, Open-Meteo API, Jupyter Notebook, and Dockerfile indicates a foundational understanding of modern AI/ML development.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong inclination towards learning and personal development in AI/ML and MLOps. The diversity of projects, from invoice generation to object detection and LLM agents, suggests a curious and proactive individual. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative environment. The projects align with a Data Scientist role, particularly those with an MLOps focus.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and 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

Invoice-through-excel-KQ

June 3, 2026 – Present

Upload your excel sheet with pre filled data to the application and then it will generate and save invoices in PDF format in pre defined format (each row in excel is fields required in one invoice)

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learn-react

February 11, 2026 – Present

Learning React for UI and all

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git-learning

January 30, 2026 – Present

git-learning — GitHub repository

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Location_Weather_Agent

January 27, 2026 – Present

This project is a Location and Weather Finder AI built using LangChain, LangGraph, and Ollama (Qwen 2.5). It uses real-time data from the Open-Meteo API to fetch city coordinates and current weather conditions through intelligent tool routing.

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First-MCP-Server

January 19, 2026 – Present

First-MCP-Server — GitHub repository

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end_to_end_object_detection

November 21, 2025 – November 21, 2025

end_to_end_object_detection — GitHub repository

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cicd_GitHub_action

November 21, 2025 – November 21, 2025

cicd_GitHub_action — GitHub repository

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Yt-sentiment-insights

November 19, 2025 – November 21, 2025

Yt-sentiment-insights — GitHub repository

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MLflow-Test

November 14, 2025 – November 14, 2025

MLflow-Test — GitHub repository

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MLOps-Learning

November 14, 2025 – November 14, 2025

End to end Production Grade MLOps Project.

View Project

Key Strengths

Demonstrated interest in Data Science and MLOps through personal projects like 'Location_Weather_Agent', 'end_to_end_object_detection', and 'MLOps-Learning'.
Experience with Python, a core language for Data Science.
Exposure to tools like LangChain, LangGraph, Ollama, Open-Meteo API, Jupyter Notebook, and Dockerfile indicates a foundational understanding of modern AI/ML development.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

Kuldeep Singh Prajapati

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit