Take-Home Projects
0 of 1 free take-home accessed
Estimate occupancy and revenue from messy scraped Airbnb availability and price data for the Phoenix market, separating real bookings from host blocks and comparing months and bedroom counts.
Clean, parse and join two raw ad-campaign datasets, then build roll-up tables for spend, impressions, engagement and cost per video view by age group, targeting cluster and device.
Explore trends in healthcare cybersecurity incidents from the VERIS Community Database, then build a model that estimates how many medical records an insider incident at a large employer would compromise.
Investigate whether a high patient census suppresses hospital discharges, using simulated admission and discharge data for 20,000 patients, then estimate the extra patient days to support a staffing cost-benefit analysis.
Train a neural network, preferably an RNN or LSTM, that predicts a car's vertical body acceleration from road vertical velocity, using real drive session data sampled at about 100 Hz.
Write two Python functions that calculate the energy and demand charges on a commercial electricity bill from one month of 15-minute consumption data, using a time-of-use tariff.
Fit a probability of default model to historical credit data in Python, evaluate it on a hold-out set, then use it to estimate the expected value of a live loan book.
Capgemini interview assignment requiring a 20-30 minute presentation on one of three data science exercises: (1) Movie Revenue Prediction, (2) Article SPAM Classifier, or (3) Sales Forecasting. Perform EDA, build and evaluate a predictive model, and present business-friendly insights in a PowerPoint or PDF presentation.