π€ Building intelligent systems that learn, predict, and adapt β from ML models and AI-powered apps to data pipelines that fuel them.
- π Studying BS Data Science at FAST-NUCES, Lahore (2023 β Present)
- π Currently building ETL pipelines, ML-powered web apps, and BI dashboards
- π Love working with Power BI, PostgreSQL, and Scikit-learn
- β½ Football obsessed β to the point I built ML models around it
- π± Always exploring new tools, cloud tech, and real-world AI applications
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ML-powered web app predicting player market values across Europe's Top 5 leagues. Includes player comparison, scouting tools, injury risk, and a Gemini AI chatbot.
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End-to-end ETL/ELT pipeline + PostgreSQL data warehouse for player performance analytics. Interactive Power BI dashboards with DAX-based KPIs.
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Flask app predicting placement outcomes & salary packages using CGPA, internships, coding skills, and communication scores via Random Forest.
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Classifies walking, jogging & more from smartphone accelerometer data using KNN, SVM & K-Means clustering with feature engineering.
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Full-stack Fiverr-inspired platform with service listings, role-based auth, profile management, and dynamic service creation.
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Always building something new. Stay tuned! |
| Certificate | Platform |
|---|---|
| π€ Working with the OpenAI API | DataCamp |
| π§ Introduction to AI Agents | DataCamp |
| π¬ Prompt Engineering with the OpenAI API | DataCamp |
| π₯ Intro to Deep Learning with PyTorch | DataCamp |