
CSE UG '28 @SPPU
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Savitribai Phule Pune University
Data Scientist
June 12, 2026 – Present
Recommendation-System
June 3, 2026 – Present
Production-ready movie recommender: Item-CF, User-CF, SVD, Hybrid Streamlit dashboard for personalised and movie-to-movie recommendations.
View ProjectGitHub-Achievement-Badges
May 22, 2026 – Present
Curated GitHub profile achievements and badges collection.
View ProjectToDo-List-App
May 12, 2026 – Present
Simple and interactive todo app using HTML, CSS, JavaScript.
View ProjectClaude-Function-Calling
March 24, 2026 – Present
Multi-tool function calling with Claude AI in Python
View ProjectAI-Voice-Assistant
March 24, 2026 – Present
Web-based AI voice assistant with live internet search
View ProjectSmartphone-Price-Predictor
March 12, 2026 – Present
Smartphone price range prediction using AWS SageMaker as ML web app.
View ProjectSmart-Food-Nutrition-Detector
August 29, 2025 – September 14, 2025
Smart Food Nutrition Detector is an AI-powered food analyzer that detects food items from text or images and provides their nutritional breakdown.
View ProjectAdarshZolekar
August 21, 2025 – Present
A simple README file for my GitHub profile as a portfolio.
View ProjectTop-AI-repos
October 23, 2023 – Present
🎖️🏆🏅 100 most popular open source AI projects 🌟 Star if you like it! 🌟
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong interest in AI/ML. The diversity of projects, from recommendation systems to voice assistants and security tools, suggests a broad curiosity. However, the lack of team-based or professional project experience makes it difficult to fully assess cultural fit in a collaborative environment. The single listed experience as 'Data Scientist' at a university with a future start date and no end date is unusual and lacks detail, making it hard to evaluate professional alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a proactive approach to learning and applying new technologies.