Transforming complex relational datasets into optimized SQL queries, predictive ML models, and executive-ready interactive dashboards.
Concrete engineering and visualization tools applied across my end-to-end analytics projects.
Constructing multi-table JOINs, subqueries, CTEs, and window functions to query, clean, and structure raw data pipelines.
Wrangling tabular data, performing exploratory statistical analysis, and modeling customer retention/churn behaviors.
Designing intuitive, interactive business intelligence reports with custom DAX calculations, parameters, and drill-throughs.
Interactive list of business domains covered with direct links to completed portfolio repositories.
Employee turnover driver analysis, attrition machine learning classification, and demographic profiling.
Campaign ROI tracking, global ad performance monitoring, conversion funnel metrics, and attribution evaluation.
Customer purchasing behavior, store sales dashboards, Walmart demand forecasting, and Olist platform analytics.
Streaming platform content distribution strategies, genre growth analytics, and release timeline patterns.
End-to-end retention tracking combining predictive machine learning models with interactive Power BI dashboards.
Supervised machine learning regression for property price estimation and exploratory demographic modeling.