At Elmas Enterprise, I analyzed GPS logs, order data, sales, events, delivery, and inventory data to help logistics and management teams identify bottlenecks, improve routes, and review KPIs.
I built profitability models and client segmentation dashboards using Python, SQL, Excel, and Tableau, helping teams understand margins, target high-value customers, and re-engage inactive clients.
Previously at OnPoint Insights, I created seller performance, revenue trend, sales, and hotel revenue management dashboards. My analysis identified Health and Beauty as an e-commerce client's top revenue-generating category at $1.5M between 2016 and 2018.
I've also applied regression and machine learning to expense forecasting, complaint analysis, digit classification, and sentiment analysis, combining analytical rigor with clear data visualization.
