Data Architecture Developer in Clearwater, United States

I was the lead cloud data architect on the Los Angeles Unified School District's Return-to-School initiative.
This system provides dashboards that allow schools to open safely using a daily pass model based on testing and tracing in school cohorts.

I led the analytics team, which delivered the One-Click Homeowners insurance predictive analytics application for Bankers Financial Corp., which was included in the CIO Magazine Top 100. This link shows the winners list for that year.

Whenever the TV or news report on how many millions of dollars a major film is expected to make over the weekend, there is a good chance the data you are seeing came from the Nielsen Box Office Estimator.
I managed the team which built this predictive tool.

I led the team that designed a new Hollywood box office reporting system from scratch, replacing a legacy system to report film box office grosses. This system—called Film Cube—supplied film sales data for Nielsen's Hollywood Reporter magazine and all Hollywood studios and media outlets.

When the film Avatar was released, Fox Studios requested a redesign to the platform to allow the breakout of 3D viewing statistics, leading to changes on the system that allowed any Hollywood Studio to view, for the first time, 3D grosses vs. regular screen grosses across 50,000 theatres, domestic and international.

For this project, Nielsen and Facebook partnered to combine Nielsen's deep repository of demographic and market habits data with Facebook's user data to provide advertisers with enhanced marketing insights.
I delivered this tool, which was used by major brands such as Coke and Procter & Gamble, and followed a similar model to Google Ads in how it tracked user web habits.

Coming into a legacy AS/400 environment, my role was to create a brand-new data, BI, and analytics platform across multiple verticals, including insurance, surety, and finance.

The system I delivered replaced multiple legacy AS/400 systems, thousands of reports, and increased self-service BI adoption across the company by 1900%!

Senior management began to treat data in the warehouse as the de-facto-trusted standard, resulting in it being used to produce corporate income statements and financial reports. It also led to multiple revenue and savings opportunities by becoming a single unified data platform used for strategic initiatives across all business units.