Technology Portfolio Financial Analytics
Developed a Power BI financial analytics system spanning two technology portfolios; adopted by the team for operating expense, capital spending, forecast, and project-performance reporting. Implemented rule-based anomaly screening, WAPE-based forecast evaluation, spending run-rate assessments, and risk/opportunity scenario views to support financial review and prioritization. Wrote a Python generator for Power BI report and semantic-model files; standardized source mappings, reconciliation rules, and data-quality checks across financial and project data.
