Email Spam Detections
Detected the spam email via message or .eml using Reinforcement Learning.
Key Learnings:
- Machine Learning model for spam classification
- RESTful API backend built with Flask
- Real-time spam prediction with confidence scores
Hello, I'm
Passionate about leveraging machine learning and artificial intelligence to solve real-world problems. Currently exploring the frontiers of data science.
I am a Student
Currently pursuing my journey in Data Science and Artificial Intelligence, I am dedicated to understanding the complexities of machine learning algorithms and their applications in solving real-world challenges.
My focus areas include deep learning, natural language processing, and computer vision. I believe in the power of data to transform industries and improve lives.
Explore my work in AI and Data Science
Detected the spam email via message or .eml using Reinforcement Learning.
A modern personal finance management application with CSV bank statement import, intelligent spending analytics, budget tracking, and AI-powered forecasting using ARIMA models. Features anomaly detection and smart financial recommendations.
A web-based stock market analytics platform. Upload CSV data, track multiple tickers, and visualize market trends with interactive Chart.js visualizations. Built with React and Vite.
My academic journey in Data Science & AI
Marwadi University
Graduated: May 2025
GPA: 6.97/10
JG University
Expected Graduation: May 2027
GPA: 6.2/10
Let's connect and discuss opportunities
yanshushingala04@gmail.com
Gujarat, India