Adarsh Zolekar
Data ScientistCSE UG '28 @SPPU
Savitribai Phule Pune University
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
CSE UG '28 @SPPU
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
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.