Andrew Adams

This summer, I focused on building intelligent systems and improving internal workflows:

●Worked with VOMS, OCR, and AI agents in n8n, using various APIs to automate document processing, respond to customer inputs, and streamline operational tasks
●Built machine learning models and neural networks to predict payment dates, helping improve forecasting accuracy
●Helped develop and deploy a Blazor web application called Starepoint, which replaced the manual “Stare and Compare” process — significantly reducing the time loan officers spent verifying documents against MSP, and also took part in pushing the app to production, working across the dev team to ensure a smooth rollout.

During downtime, I also completed several technical certifications to keep learning.

I worked on a team project where we helped visualize loan data for company leadership. Using SQL, I pulled and cleaned large datasets, then built dashboards in Power BI to show trends in loan types, amounts, and other key metrics.

Our goal was to make the data easy to understand for VP-level stakeholders, so they could quickly see what was working and where improvements were needed. I also used tools like Excel, DAX, and Power Query to make sure everything was accurate and up to date.

It was a great mix of technical work and real-world impact — and a big part of what made me excited to keep exploring data and analytics.

Worked with a small team to help fix and improve internal dashboards used by the call center. We focused on maintaining compliance by tracking call times, approval rates, and other key performance metrics.

Outside of my main tasks, I spent my free time growing my technical skills — earning certifications like the Postman Student Expert and completing several Codecademy courses to deepen my understanding of APIs and programming fundamentals.