At Sibylla, I built forecasting models on 100K+ tourism booking records to predict seasonal demand shifts and inform pricing and revenue decisions. I also automated Power BI dashboards across the booking funnel, cutting reporting cycle time by 30%.
I developed data-processing and analytical workflows for Sibylla’s Profit Management System, turning revenue, sales, finance, and operational data into KPIs. I also applied machine learning and optimization techniques to resource allocation, demand segmentation, and operational efficiency.
At Fater, I built churn and sales prediction models on 50K+ customer records and engineered features to identify customer segments. My Power BI dashboards brought regional sales KPIs, campaign performance, and customer behavior trends into go-to-market planning.
Earlier, I built Power BI dashboards and SQL/ETL workflows at Procter & Gamble (P&G), and automated data preparation at Frontier Technology Solutions. On a project, I built CNN-based models for breast cancer classification using DICOM imaging data, with evaluation focused on minimizing false negatives.
