• Collaborate with stakeholders to identify business challenges that can be solved through data analysis. • Gather data from various sources (SQL databases, APIs, web scraping), then clean and "wrangle" it to ensure accuracy for modeling. • Design and implement algorithms and predictive models using machine learning techniques to forecast outcomes or categorize information. • Analyze datasets to uncover hidden patterns, trends, and anomalies. • Translate technical findings into "data stories" using tools like Tableau or Power BI to influence executive decisions.