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Showing 6 projects.
Problem: Where do users and merchants encounter friction across signup, identity verification, bank linking, payment initiation, and successful completion—and which issues should be prioritized?
Outcome: A measurement framework for identifying friction across onboarding, verification, bank linking, and payment completion.
Tools: SQL · Excel · Power BI · Python
Problem: Where do filing workflows bottleneck, which error patterns need attention, and how can ETL and reporting automation improve processing efficiency and leadership visibility?
Outcome: Analyzed filing patterns and bottlenecks, restructured ETL pipelines for about 40% faster processing, and delivered Power BI dashboards with automated validation.
Tools: Excel · Power BI · SQL · Power Query · Python · DAX
Problem: Which health-metric patterns should receive additional review, how can anomaly detection reduce time-to-insight, and what access controls are required for trustworthy monitoring?
Outcome: Built an AI-powered anomaly detection and reporting workflow for critical health-metric patterns, paired with role-based BI dashboards for faster monitoring.
Tools: Python · SQL · Excel · Machine Learning
Problem: Where are qualified prospects being lost, which channels create valuable opportunities, and is the current pipeline sufficient to meet revenue goals?
Outcome: A decision-support dashboard framing that identifies funnel bottlenecks, pipeline risk, and opportunities to improve sales prioritization using synthetic CRM data.
Tools: SQL · Power BI · Excel · DAX · Power Query
Problem: Which channels and customer segments create valuable, retained customers rather than inexpensive but low-quality conversions?
Outcome: An analysis framework that distinguishes channel quality and retained customer value from low-quality inexpensive conversions using synthetic campaign data.
Tools: SQL · Python · Excel · Power BI
Problem: How can the organization reduce delayed orders, stockouts, and excess inventory while maintaining service levels?
Outcome: A monitoring and decision framework for balancing inventory availability, fulfillment performance, and working capital using synthetic operations data.
Tools: SQL · Excel · Power BI · Power Query · Python