CASE STUDIES
Explore how modern data platforms, intelligent analytics, and automation solve complex business challenges and create measurable impact across healthcare, education, aviation, retail, and more.
Building modern, scalable enterprise data platforms that replace fragmented systems, automate data integration, and establish a trusted foundation for analytics and AI.
Built a governed Microsoft Fabric Lakehouse integrating LMS OData, Oracle ERP, and shared files with resilient incremental ETL automation.
Built a custom Python and SQL Server LMS data platform with automated daily ETL, multi-year history, and no licensed cloud orchestration.
Transforming clinical, operational, financial, population-health, workforce, and predictive data into actionable healthcare intelligence.
Embedded a centralized Power BI intelligence platform into YASASII HIS for hospital operations, clinical performance, and financial oversight.
Predicted 30-day readmission risk with a 0.9748 ROC-AUC, identified $37M in potential savings, and enabled targeted intervention for the top 5% highest-risk patients.
Stratified diabetes risk, exposed 25.2% deteriorating patients, and isolated the 14.1% population overdue for HbA1c monitoring.
Unified 120,000 claim rows, quantified $70.1M in value at risk, and prioritized 20.3% high-risk claims representing $14.2M in exposure.
Centralized training data for 9,500+ employees, delivered sub-second reporting, and tracked compliance for 7,782 trained employees.
Helping organizations across diverse industries modernize data ecosystems and unlock strategic insights.
Built an interactive global benchmarking platform for country talent competitiveness, policy intelligence, and demographic analysis.
Unified five operational well-integrity sources and delivered automated risk, sensor, inspection, maintenance, and cost intelligence.
Automated credit-risk scoring for 500+ SMEs and 10,000+ transactions with explainable loan-eligibility tiers and anomaly intelligence.
Identified 20–25% peak-month uplift, 66.16% in-store channel dependence, and branch-specific growth and operational strategies.
Centralized ten weeks of scholarship testing and quantified a 49.7% increase in average Writing performance from 1.55 to 2.32.
Automated NPS and evaluation analytics for 6,000+ participants across Walk-In, Scholarship, and H-Scholarship programs.
Let's discuss your organization's data modernization goals and build practical solutions that create measurable business outcomes.
