• 🎓 I’m a Software Engineering undergraduate with a strong focus on problem solving and building impactful solutions.
• 🌟 Currently exploring DSA, Web Development, and Machine Learning.
• 🏆 Solved 500++ problems across LeetCode, CodeChef, and GFG.
• ✍️ I write clean, maintainable code and love learning new paradigms.
• 💬 Ask me about DSA, C++, React, and developer productivity.
• ⚡ Fun fact: I believe debugging teaches humility faster than life does.
• 💡Life Mantra: Live it to the fullest because it only happens once

• 🎯 Weather Forecasting App –
• Weather Forecasting App 🌤:

A robust weather forecasting application providing accurate weather reports for any location worldwide.

🌈 Features:

• Location-based Weather: Get weather reports for any desired location.
• Current & Forecasted Weather: View current conditions and forecasts.
• User-friendly Interface: Clean and intuitive design for easy usage.

🔧 Tech Stack:

• Frontend: React JS, JavaScript, HTML5, CSS3.
• API Integration: Utilizes a weather API (e.g., OpenWeatherMap) for data.

📚 About: Both applications showcase the blend of interactivity, utility, and modern web technologies. Ideal for developers interested in interactive experiences or practical tools like weather forecasting.

• 🚀 Virtual Rakhi Gift –

• Rakhi Virtual Gift Project:

Cutting-edge Virtual Rakhi Experience✨ A dynamic, interactive virtual gift celebration merging tradition with tech for an unforgettable online Rakhi experience!🌸

🎉 Features Highlight:

• Scratch-to-Reveal Gift Card 🎁: Users scratch to uncover a surprise.
• Thrilling Mini Shooter Game 🎮: Fun gameplay adds excitement.
• Customizable Photo Frame 📸: Personalize with memories or themes.
• Responsive & Engaging: Optimized for all devices 📱💻.
• Festive Tech Blend: Celebrate Rakhi with modern web tech vibes 🎊.

💻 Tech Stack:

• Frontend Magic: React JS + JavaScript + HTML5 + CSS3.

• 🌐 Project Name – short description, tech stack

Certificate of Completion: Introduction to Data Science

✨Course Overview:

I successfully completed the "Intro to Data Science" course, gaining a solid foundation in data science concepts and techniques.

📜Technical Skills Learnt:

• Programming language: Python
• Data science tools: Jupyter Notebook, Anaconda Navigator
• Libraries and frameworks: Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn

👩‍🎓Certification Details:

• Course Name: Intro to Data Science
• Issuing Organization: Simplilearn
• Date of Completion: 30th July 2025

This certification showcases my ability to apply data science concepts and techniques to drive business outcomes.

Certificate of Completion: Python Libraries for Data Science

✨Course Overview:

This course covered the core Python libraries used for data handling, analysis, visualization, and machine learning. You built practical projects that demonstrate how to work with real‑world datasets and deliver actionable insights.

📜Technical Skills Learnt:

• NumPy, pandas, Matplotlib, Scikit-learn, Data Wrangling, Statistical Analysis.

👩‍🎓Certification Details:

• Course Name:Python Libraries for Data Science
• Date of Completion: 17th August 2025
• Issuing Platform: Simplilearn

This certification showcases my ability to apply data science concepts and techniques to drive business outcomes.

Let's build something amazing together!