Projects
SPS Project – Deviation Execution Visibility System
SPS Project – Deviation Execution Visibility System
SPS Project – Deviation Execution Visibility System
Designing and piloting a federated execution-visibility system that shifts deviation oversight from static status tracking to real-time execution intelligence. Built using Smartsheet for execution-layer constraint tracking and Azure dashboards with Tulip GxP integration for leadership escalation and systemic bottleneck visibility.
Los Angeles Wildfire Structural Damage Study
SPS Project – Deviation Execution Visibility System
SPS Project – Deviation Execution Visibility System
Graduate data science project focused on cleaning, standardizing, and preparing wildfire-related structural damage data across Los Angeles County to produce a reusable master dataset for geospatial analysis and downstream analytical workflows.
CalTech Data Science Project
SPS Project – Deviation Execution Visibility System
CalTech Data Science Project
Applied data science study analyzing a structured socio-economic dataset containing household income, rent, and demographic variables. The project focused on understanding how income levels, housing costs, and family characteristics are represented within the data, using the data dictionary to interpret variable meaning, constraints, and relationships. Emphasis was placed on data quality assessment and defining appropriate analytical and visualization use cases related to housing affordability and income distribution.