Hey there! I'm Shreyash Waralkar — a curious and creative problem solver with a passion for tech, logic, and learning by doing. Whether it’s building intuitive tools, exploring patterns in systems, or just creating something impactful, I love challenges that blend creativity with technology. I’m always eager to grow, adapt, and contribute to meaningful projects that make a difference.
Contributed to the development of a predictive model for credit card default risk by analyzing transactional patterns and customer behavior using Python, Pandas, Flask, and MongoDB—achieving a model accuracy of 81.88%.
Big Data Analysis : Gemstone Price Prediction
Predicted gemstone prices using regression models and optimized jewelry pricing strategies
View on GitHub
Titanic Survival Prediction using ML
Analyzed passenger data to understand survival rates based on factors like class, age, gender, and embarkation port
View on GitHub
Zomato Data Analysis using Python
Analyzed Zomato data to identify trends in restaurant types, ratings, and order preferences for optimizing offers and pricing
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Conjunctivitis Prediction Using Deep Learning
Real-time CNN system that detects eye images and classifies them for conjunctivitis using live camera input
View on GitHubBharati Vidyapeeth College of Engineering, Navi Mumbai
2021 – 2025 | CGPA: 9.52Karmaveer Bhaurao Patil College, Vashi
2021 | 85%PVG's Vidyabhawan, Nerul
2019 | 83.60%Want to explore my background, skills, and experience in detail? Check out my resume below.
Location: Navi Mumbai, India