Hi, I'm Swayam Patil 👋
I'm Swayam Patil, a Data Science enthusiast pursuing a B.Tech in Computer Science & Engineering at Shivaji University. I have hands-on experience in developing ML-powered web apps, including a project for helmet detection and bike occupancy during my internship at Infosys Springboard. Proficient in Python, SQL, and machine learning, I'm driven by the potential of data to solve real-world problems and am eager to contribute to impactful projects.
Data Science enthusiast
Work Experience
Machine learning intern
Apr 2024 - Jul 2024
Infosys Springboard
• Developed and launched the BikeWatch web application, integrating advanced helmet detection and occupancy features that boosted user
compliance by 35% and optimized bike utilization rates by 20% in urban areas.
• Integrated AWS S3 for image storage, increasing image retrieval speed by 30%
• Implemented object detection models using ML techniques, improving accuracy by 25%
• Automated penalty calculations and email notifications, reducing manual effort by 40%
Skills
Python
PyTorch
Java
PostgreSQL
MySQL
Tableau
Microsoft Power BI
AWS
HTML5
CSS3
Javascript (JS)
My Projects
Check out my latest work
I've worked on a variety of projects, from simple websites to complex web applications. Here are a few of my favorites.
Movie Recommendation System
I created a Movie Recommendation System using ML with Collaborative, Content-Based, and Hybrid models for tailored suggestions. It features a user-friendly interface for easy interactions and accurate movie recommendations based on user preferences.
Heart Disease Prediction
I developed a Heart Disease Prediction System using ML algorithms to analyze patient data and predict heart disease risk. The project features a user-friendly interface for easy interaction and accurate predictions based on medical data.
Recipia
I developed Recipia, a website built with HTML, CSS, and JavaScript, designed to showcase a variety of recipes. It features a clean, user-friendly interface for easy navigation and recipe exploration.
