Prashant Malge

Data Scientist

https://www.opentalent.in/prashant-malge

Jay Shree MahaVishnu <3

Pune, Maharashtra, IndiaMember since June 15, 2026

Key Strengths

Demonstrated interest in Large Language Models (LLMs) and Generative AI through projects like 'End-To-End-Quiz-Generator', 'Fine-Tune-LLAMA2', and 'DeepSeek-R1-s-Students-Quantization-and-Inference-Examples-Llama-3.1-and-Qwen2.5-'.
Proficiency in Python, a core language for Data Science, evidenced by its use across numerous personal projects.
Experience with Jupyter Notebooks, essential for data exploration, model development, and presentation in Data Science.
Exposure to MLOps-related concepts through projects involving Dockerfile and shell scripting.
Practical application of LangChain and OpenAI APIs for building AI-driven applications.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal learning and exploration, particularly in emerging AI/ML fields. The diversity of projects, from LLM fine-tuning to web scraping and basic automation, suggests a curious and self-driven individual. However, the lack of team-based projects or professional experience makes it difficult to assess collaboration or alignment with a structured team environment. The projects are primarily individual initiatives, which is common for an entry-level profile but limits insight into cultural fit for a senior role.

Soft Skills & Operational Fit

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

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Projects

ace-context-engineering

October 24, 2025 – Present

ace-context-engineering — GitHub repository

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noobPractice

October 19, 2025 – October 23, 2025

noobPractice — GitHub repository

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Playwright_Framework

October 14, 2025 – November 21, 2025

Playwright_Framework — GitHub repository

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policeFIRPOC

October 11, 2025 – October 12, 2025

policeFIRPOC — GitHub repository

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google-news-scraper-demo

September 7, 2025 – September 15, 2025

google-news-scraper-demo — GitHub repository

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iplTweetNoobGenerator

April 26, 2025 – April 26, 2025

iplTweetNoobGenerator — GitHub repository

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DeepSeek-R1-s-Students-Quantization-and-Inference-Examples-Llama-3.1-and-Qwen2.5-

January 23, 2025 – January 24, 2025

DeepSeek-R1-s-Students-Quantization-and-Inference-Examples-Llama-3.1-and-Qwen2.5- — GitHub repository

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Fine-Tune-LLAMA2

January 1, 2024 – January 2, 2024

Fine-Tune-LLAMA2 — GitHub repository

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End-To-End-Quiz-Generator

December 29, 2023 – July 11, 2024

The "End-To-End MCQ Generator" is a powerful tool that harnesses LangChain and OpenAI to automate the creation and evaluation of Multiple-Choice Questions (MCQs) for educational purposes.

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Template

September 19, 2023 – September 20, 2023

The Project Template Generator Script is a handy tool designed to simplify the initial setup of your new projects. It automates the creation of directories and files commonly used in software development, helping you maintain a consistent project structure and save time on repetitive tasks.

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Key Strengths

Demonstrated interest in Large Language Models (LLMs) and Generative AI through projects like 'End-To-End-Quiz-Generator', 'Fine-Tune-LLAMA2', and 'DeepSeek-R1-s-Students-Quantization-and-Inference-Examples-Llama-3.1-and-Qwen2.5-'.
Proficiency in Python, a core language for Data Science, evidenced by its use across numerous personal projects.
Experience with Jupyter Notebooks, essential for data exploration, model development, and presentation in Data Science.
Exposure to MLOps-related concepts through projects involving Dockerfile and shell scripting.
Practical application of LangChain and OpenAI APIs for building AI-driven applications.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Prashant Malge

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit