I enjoy turning raw data into meaningful insights and building projects that help me understand how data can support better decisions.
I'm currently focused on strengthening my skills in Data Analytics, Python, SQL, Pandas, NumPy, and Power BI, while continuously working on practical projects and improving my problem-solving skills.
- 📊 Building Data Analytics projects using Python, SQL and Power BI
- 🐍 Strengthening my Python skills for data analysis
- 📈 Learning advanced data visualization and analytical techniques
- 🧠 Exploring Machine Learning and its applications
- 💻 Practicing problem solving and improving my technical skills
- 🌱 Contributing to and learning from the open-source community
SQL • Business Analytics • Power BI
Analyzed customer purchasing behavior using Recency, Frequency and Monetary (RFM) analysis to segment customers and identify valuable, loyal, at-risk and lost customer groups.
Python • Pandas • Matplotlib • Seaborn • EDA
Performed end-to-end exploratory data analysis on student performance data, including data cleaning, missing-value handling, factor-wise analysis, visualization, correlation analysis and additional performance insights.
MERN Stack • Machine Learning
A crowdsourced platform designed to help users report environmental violations, with features for reporting, location-based information, authority interaction and ML-based verification.
- 🦈 GitHub Pull Shark — Earned through merged Pull Requests
- 🏹 GitHub Quickdraw — Earned through quickly resolving a GitHub issue
- 🏅 Hacktoberfest 2025 Super Contributor — Earned the Golden Badge after contributing 6+ accepted Pull Requests
- 👩💻 Hacktoberfest 2025 Participant — Contributed to open-source projects
- 🥇 Best Student Award — Class XII
- 🌟 Student of the Year — Class X
From building applications to understanding data — I'm exploring how technology and analytics can solve real-world problems.
⭐ Feel free to explore my repositories and connect with me!