code · create · reflect · repeat
2nd year B.Tech AI & ML student at IGDTUW, Gurgaon · CGPA 9.58
I'm focused on data science and AI engineering - building ML pipelines, working with LLMs, and learning to deploy real systems.
Grade 8 pianist (Trinity College London, Distinction) · she/her
Languages · Python · R · C++
Data & ML · Pandas · NumPy · Matplotlib · Seaborn · scikit-learn · XGBoost · Tableau
LLMs & AI · Gemini API · HuggingFace · Prompt engineering · Streamlit
Tools · Flask · Git · GitHub · Jupyter
Song Popularity Prediction · Code · Live
End-to-end ML pipeline for predicting song popularity. Improved from a 57.7% baseline (Logistic Regression) to 77.5% accuracy with XGBoost, achieving 0.859 ROC-AUC. Feature engineering, model comparison, full evaluation.
Python Pandas XGBoost scikit-learn Matplotlib
Aasha — Conversational Mental Health Chatbot · Code
Custom emotion detection model using keyword analysis and HuggingFace transformers. Prompt-engineered for context-aware, grounded responses.
Python HuggingFace Flask Prompt Engineering
ReadShelf — Mindful Reading Web App · Code
Flask-based full-stack app with personalised reading analytics, a Word Vault using the Dictionary API, and a Pomodoro-style reading timer.
Python Flask JavaScript HTML/CSS SQLite
If you're building something thoughtful or just learning together, let’s talk 🤍
- 💬 GitHub messages always open
Building thoughtful tech, one project at a time ✨