Aarya Guddadkeri

I’ve just completed my second year in Computer Science Engineering and am looking to gain hands-on experience in the IT industry. An opportunity in the IT field will help me apply my knowledge practically and understand real-world workflows. Having developed a machine learning project on heart disease prediction, I’m eager to deepen my practical experience in this domain, grow professionally, and contribute to impactful projects as I enter my third year.

Portfolio (2023)

• Built a web portfolio using HTML, CSS, and JavaScript to showcase projects and key accomplishments in web design.

Restaurant Menu (2024)

• Created an interactive menu app with cart functionality using HTML, CSS, and JavaScript for dynamic user experience.

Hangman Game (2024)

• Developed a Python-based Hangman game using Tkinter, focusing on word logic, user input, and basic GUI elements.

Expense Tracker (2024)

• Built a Python-Flask based expense tracker with HTML to log user inputs and visualize monthly spending through graphs.

Heart Disease Prediction (2025)

• Developed a machine learning project in Python to predict heart disease risk using the Framingham dataset and key health indicators.
• Applied data preprocessing, feature selection, and implemented multiple classification models to compare performance and improve accuracy.

Smoke Detection using Cisco Packet Tracer (2025)

• Simulated an IoT-based smoke detection system with real-time alerts using Cisco Packet Tracer and networked sensors.