I combine systems engineering (PeopleSoft / Workday) with data engineering and program coordination to reduce manual work, improve compliance, and deliver dependable analytics.
Define roadmaps, KPIs and governance so data becomes a reliable, auditable asset that supports decisions and compliance.
Design dashboards and reporting that deliver clear, operational insights for executives and program owners.
Move research from prototype to production with reproducible pipelines, model ops, and research-ready data flows.
Integrate and automate systems (PeopleSoft/Workday, ETL, APIs) to reduce manual work and improve data quality.
Lead cross-functional teams, coordinate stakeholders and vendors, and deliver projects on time and on budget.
Support faculty and research teams in developing grant proposals, managing funded projects, and building university–industry collaborations that drive innovation and workforce development.
Applied supervised models & trajectory analysis to detect abnormal driving behaviour. Includes feature engineering, model training and visualizations used in the presentation.
This study, supported by the National Institutes of Health (NIH) and the National Science Foundation (NSF), presents a spatial deep learning framework for detecting abnormal driving behaviors among older adults using telematics data. It applies a Grid Index based spatial augmentation method combined with deep neural networks to accurately distinguish normal and abnormal driving patterns. The work highlights how spatial and temporal learning can enhance road safety, improve insurance risk analysis, and support early detection of cognitive impairment.
Heatmaps and occupancy analysis used to optimize room utilization. Useful to faculty and registrar teams.
This upcoming project will leverage machine learning and natural language processing to analyze institutional data, course feedback, and student performance metrics. The goal is to create a predictive dashboard that helps universities make data-driven academic and administrative decisions in real time.
