API-Led Architecture

A waste management company grew by acquisition until it had 200+ information systems across the business. Levi had the fortunate position of trying to integrate the data as the business went through a full digital transformation and migration to a (smaller footprint?) of only 50 different systems. 

As a part of the transformation, Levi touched every functional area and not only defined a large part of the final APIs, but also spent 4 weeks in India designing a custom API monitoring solution that brought the power of clear error definitions and even API retries to non-technical users. 

Luxury Brand Digital Transformation

When a luxury product brand with highly customized products wanted to modernize their sales management, procurement and customer service processes, Levi wore many hats. He designed and refined the process after working closely with the end users and intimately understanding the business, he led partner consulting firms in application migration work and personally developed and deployed APIs using Azure to support data integration. 

Levi wrote the RESTful APIs in Python using Azure Functions and used Azure DevOps to manage the CI/CD pipelines. He configured SAP Business ByDesign and wrote Apex triggers and classes to callout to the APIs. 

HR Data Integration

When two very large U.S. based airlines merged, they needed a new HR system to help integrate all of their current employees as well as manage their hundreds of thousands of retirees and past employees for benefits purposes. Levi led data validation efforts, working seamlessly with both Deloitte and a third-party consulting firm to improve data quality from sub-20% to over 80% in a single mock cut-over cycle. 

Levi's data validation tool became a source of truth for the client and he became an expert in all things data transformation. 

Analytics in Python (Columbia MBA Coursework)

During the coursework in Data Analytics in Python and Applied Regression Analysis at Columbia Business School, Levi expanded his experience using Python libraries to perform tasks like web scraping, data visualization, and applying machine learning techniques. 

Levi utilized these skills to build and analyze regression models addressing various business problems, including scraping Dollar General location and economic/demographic data to predict where DG will build stores. Hint: Education is a bigger factor than other economic indicators.