In Spring 2025, I had the opportunity to work on a data analytics project with a no-code backend company. It’s a company that allows start-ups and small businesses create the backend of apps to prepare for launch and scale. I was tasked with identifying key behaviors that lead to churn (unsubscribing) and determining who is considered high value customers and how to support their success.

I segmented the data on job title and found a group of customers that needed the most support. Then, I statistical analysis on the data using Python to see how we could best support those customers. I made some insightful data visualizations, showcasing the pain points in that job segmentation, and did some outside research to supplement the data that included sentiment analysis and price tier comparison. Then, came up with some actionable recommendations for the company to use going forward, including some mockups of what these changes could potentially look like. I also came up with some alternative price tiers to include a wider audience and the company implemented similar changes after our final presentation. It was a really rewarding project and made me more confident in my analytical prowess.