I'm diving into data science and machine learning from the ground up, balancing university courses with self-learning and hands-on projects.

🧠 I'm Working On

• Foundations: calculus, linear algebra, and probability
• Key statistics: descriptive stats, hypothesis testing, regression, Bayesian inference
• Building and testing machine learning models
• Breaking down AI and data concepts

🛠 Tools I'm Using

• Python
• PyTorch, scikit-learn, pandas, NumPy, Matplotlib, Jupyter
• R
• SPSS / Minitab
• Maxima

🎯 Goals

• Build strong math, stats, and ML foundations
• Apply theory through projects and code

🧩 Sharks don’t sell ice cream. Ice cream doesn’t bite. But data bites.