Data Collection & Preparation
Data Gathering: Participate in data collection and cleaning processes, working with
structured (tabular), unstructured (text, images), and time-series data sources.
Preprocessing & Feature Engineering: Explore datasets to identify relevant
features, engineer new variables, and handle outliers or missing values to enhance
model performance.
