Global Coffee Sales Analysis: The purpose of our analysis is to examine the impact of customer demographics, weather, and product preferences on sales within a coffee shop setting. This information is important for coffee shops to base their decision-making based on inventory, employee scheduling, and marketing strategies. A beginner analysis into a Kaggle dataset based on a year’s worth of real-world retail foot-traffic and coffee shop sales benchmarks, this project garnered insights from the metadata behind a given order where we trained a proof-of-concept model to allow cafe owners to predict the amount of orders they may receive in a given day. This will especially help with staffing and inventory, which may be difficult to predict.

Gabriel Allen: “I am a 4th year SJSU iSchool Information Science and Data Analytics major student minoring in Nutrition: Food Science and (soon) Business Administration.”

Nikhil Garg: “I am a student focused on Data Analytics at SJSU. Beyond the tech, I enjoy playing games, hiking, film photography, and other creative endeavors. “