Python · ML · DL · LLMs · NLP · Computer Vision · RAG · Transformers · Prompt Engineering · FastAPI · Streamlit · OpenCV · MediaPipe · Hugging Face · Open Sourc
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Mumbai Educational Trust, MET League of Colleges logo Mumbai Educational Trust, MET League of Colleges
Data Scientist
June 14, 2026 – Present
Pong-Q-Learning-RL-Experiment
June 8, 2026 – Present
An educational environment designed to teach the fundamentals of Reinforcement Learning (RL) from absolute zero, without treating the algorithms as black boxes.
View ProjectTEDxMET-Nashik-Recruitment
May 18, 2026 – Present
TEDxMET-Nashik-Recruitment — GitHub repository
View ProjectStudyRAG
May 13, 2026 – Present
StudyRAG is a professional, AI-powered study assistant inspired by Google's NotebookLM. It allows students to upload their learning materials (PDFs, textbooks, lecture notes) and interact with them using a Retrieval-Augmented Generation (RAG) pipeline.
View Projectmovie-info-extractor
May 11, 2026 – Present
**MovieInfoExtractor** is a modern, AI-powered web application and CLI tool designed to extract structured data from unstructured text about films. Using the power of **Mistral AI**, **LangChain**, and **FastAPI**, it can parse complex paragraphs and turn them into clean, usable movie metadata.
View ProjectDeepWater_Predictor
May 11, 2026 – Present
Project uses a Neural Network to predict if plants need water based on environmental factors.
View ProjectDonut-Blender
November 30, 2024 – November 30, 2024
Learn Blender basics with this step-by-step donut tutorial! Perfect for beginners, this guide covers modeling, texturing, and rendering to create a realistic donut. Explore essential Blender techniques and improve your 3D skills. Ideal for students, hobbyists, and aspiring 3D artists. Check it out now
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards AI/ML and data-related fields, which aligns well with a Data Scientist role. The diversity of personal projects, from educational environments to AI-powered tools, suggests a proactive and self-driven learning attitude. However, the lack of team-based projects or professional experience beyond a current 'Data Scientist' role with a future start date limits the assessment of collaborative cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.