I build things end to end — carts that check out, dashboards that make sense of messy data, and reports that generate themselves.
- 🎓 CS undergrad at Bahria University, Karachi (2023 – 2027)
- 💼 Recently interned at Bonanza Satrangi, building an AI retail chatbot, an internal complaint management system, and a voucher report generation platform
- 📊 Also interned at Excelerate, where I trained a Random Forest Classifier hitting 100% accuracy on a held-out test set
- 🏆 Certified Top Performer (97.25%) — NCEAC-HEC Generative AI Training, Cohort 3
- 🌱 Currently deepening my skills in Data Science, AI, and Machine Learning
- ✍️ Off the clock: novelist, YouTuber, video editor, and graphic designer
Languages
Web & Backend
AI & ML
Databases
Tools
| Project | Description | Tech |
|---|---|---|
| Mariame Plants Ecosystem | Full-stack e-commerce storefront with cart, checkout, and automated PDF invoicing | Flask · SQLAlchemy · SQLite |
| E-Commerce Analytics & ML Dashboard | Scraped, cleaned, and modeled e-commerce data into an interactive Streamlit dashboard | Python · Selenium · Scikit-learn |
| Enterprise Payroll Hub | Production-ready payroll system, from clock-in to compliant payslip | Next.js · TypeScript · Tailwind CSS |
| Retail Sales AI Chatbot | Plain-English Q&A over retail sales data using Google Gemini API | Python · NLP · Streamlit |
| Employee Complaint Management System | Internal complaint tracker built for Bonanza Satrangi | Flask · Oracle Database |
| Gift Voucher Report Generation System | Excel in, Oracle in between, branded PDF vouchers out | Flask · Oracle · JasperReports |
Freelance, internships, or just talking shop about Oracle databases — I read everything.