π AI Undergrad β27 @ COMSATS Wah
π‘ Focused on Machine Learning & Applied Data Science
π Exploring ways to turn AI/ML into real-world solutions
- Languages: Python, SQL
- Core: Machine Learning, Data Science, Data Preprocessing, Exploratory Data Analysis (EDA)
- Libraries: Pandas, NumPy, Scikit-learn
- Tools: Git, Docker, Jenkins
- Other: Leadership & Team Collaboration
- Machine Learning Specialization (Coursera)
- IBM Data Analysis with Python (Credly)
- CS50P: Introduction to Programming with Python (Harvard)
- More on my LinkedIn

