Case studies

Analyzed sales performance by segment, geography, and seasonality to identify high-performing customer groups and peak revenue periods. The insights enabled focused sales prioritization, improved forecasting accuracy, and more effective resource allocation.

Data-driven insights from pediatric cancer survivorship research informed hospital policy and program design. Analysis of SJLIFE data revealed that the mental health impact of limb amputation varies by age at diagnosis, prompting targeted recommendations to support younger, more vulnerable patients. Based on these findings, recommendations were made to the hospitals to stregthen support for children living with disabilities.

Analyzed key wellbeing concerns and weekly workload among doctoral students, revealing that over half work more than 50 hours per week. The findings highlight strong links between overcommitment, mental health challenges, and work–life balance issues, informing evidence-based academic support strategies.

Examined workforce demographics, age distribution, and role concentration to uncover diversity gaps and succession risks. The analysis supported data-driven workforce planning, DEI initiatives, and organizational optimization.

Leveraging a meta-analysis portal to aggregate genomic and clinical datasets, the project refined risk classification in medulloblastoma. Findings demonstrate that MYC amplification identifies a high-risk subgroup, while iso17 status alone does not uniformly confer high risk, enabling more precise, biology-informed patient stratification