I am a Computer Science student passionate about AI, Data Analysis, and App Development.
I enjoy building ML projects, dashboards, and applications that solve real-world problems.
- Programming Languages: Python, C++, SQL, Java, JavaScript, Dart (Flutter)
- Data & ML: Pandas, NumPy, Scikit-learn, TensorFlow, Matplotlib, Seaborn
- Web & App Development: Flutter, React (basic), Flask
- Databases: TimescaleDB, MariaDB, SQLite
- Tools & Cloud: Git/GitHub, Docker, Microsoft Azure, Google Cloud Platform, ERPNext
- Automated Investment Advisor – Portfolio recommendations with ML and dashboard visualization
- Pollution Anomaly Detection – Time-series anomaly detection using Isolation Forest
- Blood Bank Inventory System – Flutter app with Google Maps integration for supply optimization
- Eco-Friendly Pest Control via Signal Disruption – Simulated a bio-acoustic system to disrupt insect behavior using adaptive vibrational signals
I am open to collaboration on AI/ML projects, app development, and data-driven solutions.