At Cipher School, I cleaned and structured product-usage datasets, built predictive churn and engagement models, and created interactive Tableau dashboards. My work improved data processing efficiency by 20%, and the churn model achieved 87% accuracy.
I built a content-based movie recommender that combines TF-IDF and cosine similarity with a Next.js and Vite interface backed by an Express.js API. It returned recommendations in under 150ms and earned a 92% user-relevance rating during initial testing.
On my Smart Waste Management Database System project, I designed a normalized MySQL schema and automated queries and triggers for logistical changes. I also automated reporting for a restaurant marketplace analytics project, reducing weekly report generation from four hours to less than ten minutes.
