I’m a penultimate-year Computer Science student at the University of Leeds, on track for a First Class (Y1: 78%, Y2: 75%). I like learning in depth rather than fast delivery of code I don’t understand :P. I enjoy working on problems where I can derive requirements through R&D and build solutions with real impact - especially when the work is client/user-centric. I try to ask the right questions, take feedback seriously, and focus on the root problem rather than the most complex solution (the K.I.S.S principle).
| 🌱 CURIOSITY | 🛠 OWNERSHIP | 🤝 RESPECT |
|---|---|---|
| I ask why, not just how. It helps me understand systems deeply. That leads to better solutions. |
I care most when I own the outcome. Responsibility drives quality. I follow through end-to-end. |
Everyone has something to offer. Experience isn’t the only signal. Mutual respect makes teams work. |
| 🎯 SIMPLICITY | 🌍 REAL IMPACT | 🔎 TRANSPARENCY |
| Keep it simple and focused. Reduce scope when needed. Quality over quantity. |
I want my work to matter. Useful to real people. Impact over optics. |
Clear requirements, clear communication. Fewer assumptions, fewer surprises. Smoother execution. |
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Propaganda Detection & Classification
Hybrid NLP pipeline combining embeddings + classic features; iterated on evaluation and model behaviour.
🔗 Repo: https://github.com/Kavisha612/Propoganda-Detection-and-Classification-Model -
3D Rocket Launch Simulation
Interactive simulation with camera controls, object parsing, and physics-style animation work.
🔗 Repo: https://github.com/Nadia8844/COMP3811-CWK2 -
Module Preference Analysis
Analysis project exploring patterns in module/course preferences and trends.
🔗 Repo: https://github.com/Kavisha612/Student-module-preference-data-analysis -
Explainable AI for Women’s Cardiovascular Risk Prediction (In Progress)
Training an ML model and applying explainability methods to interpret predictions and inspect bias signals.
- 🔎 Deepen my understanding of Explainable AI (XAI) to improve transparency in ML and deep learning systems.
- 💼 Secure a Year in Industry or Summer Internship to gain real-world experience and contribute to production-level projects.
- 🤝 Connect with industry professionals to learn from their journeys and continuously improve my own path.
- 🌐 Build and launch a personal portfolio website to document my work and growth.
- 🌱 Contribute more outside code — currently tutoring, serving as a School of Computer Science Representative, and soon volunteering in a wood recycling programme.