Data analysis, automation scripts, ML workflows.
High-performance coding, DSA, problem solving.
Supervised, Unsupervised, Feature Engineering.
Pandas, NumPy, Matplotlib, Seaborn, Plotly.
Data cleaning, visualization, pattern discovery.
BeautifulSoup, requests, Selenium basics.
Cleaning → EDA → Feature Engineering → Model.
Dataset analysis, notebooks, ML experiments.