Data Challenge: Presentation + Coding (Python, Data Processing)

Data Challenge (DC): Presentation + Coding (Python, Data Processing) You are given a dataset and asked to complete a small data challenge, including a presentation and a code walkthrough. The interviewer focuses more on your business sense and will ask about your implementation choices. Tasks Data processing & analysis Load the provided data (often related to operations/staffing/performance). Perform cleaning, feature engineering, and aggregation. Produce key metrics and (if applicable) charts/tables that support conclusions. Presentation & recommendations Present in a structured way: context → approach → findings → recommendations → risks/next steps. State assumptions and reasoning behind business judgments. Typical follow-ups Why did you use Python? What Python packages did you use and why? What is your key takeaway from operational staffing? What did you enjoy most about this data challenge? Output A 5–10 minute presentation outline. A code structure walkthrough (inputs → cleaning → core logic → outputs) emphasizing reproducibility.