I specialize in creating modern, responsive, and engaging web experiences using HTML, CSS, JavaScript, and contemporary frontend practices. With a strong command of Data Structures and Algorithms, I enjoy solving challenging problems and optimizing performance. Currently, I'm expanding my expertise as an AI/ML & Data Science Intern, working on machine learning models, data-driven solutions, and real-world applications of artificial intelligence.
Scored 82.4%
Scored 85%
Java
Python
C
JavaScript
HTML5
CSS3
Node JS
Express JS
SQL
SQLite
NumPy
Pandas
Matplotlib
Scikit-Learn
Bootstrap
Ejs
Postman
Canva
Chatgpt
Capcut
Gemini
June 2026 – July 2026
Hands-on experience in Artificial Intelligence, Machine Learning, and Data Science projects.
Developed a responsive personal portfolio featuring a modern Glassmorphic design, interactive animations, and a dynamic Dark/Light Mode toggle using Vanilla JavaScript. Optimized for accessibility, performance, and cross-device compatibility.
Diabetes Predictor is a Machine Learning web application that predicts the likelihood of diabetes based on key health parameters such as glucose level, BMI, age, blood pressure, and insulin. Built using Python, Scikit-learn, and Streamlit, it features an intuitive interface for real-time predictions.
Developed a responsive weather application using JavaScript that fetches real-time weather data from a third-party API. The app displays current weather conditions, temperature, humidity, wind speed, and location-based forecasts through a clean and user-friendly interface.
Earned the 50 Days Badge by consistently solving coding problems on LeetCode, demonstrating dedication to improving Data Structures and Algorithms skills.
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