Andrew Wrona

I am a data-driven professional with a strong background in data analysis, reporting, and operational optimization. Over the past several years, I have honed my skills in Python, SQL, Excel, Power BI, and predictive analytics to drive meaningful business improvements.

Currently, as a Sr. Collections Analyst at Sunnova Energy Corporation, I specialize in analyzing large datasets to enhance operational efficiency, reducing daily processing times by over 4 hours through Python automation. My work conducting root cause analyses has directly increased collection efficiency by 20%, and I was recognized company-wide for launching a new SMS campaign that generated over $1.5 million in additional collections in 2024.

Prior to Sunnova, I worked as a Resource Analyst at PFS Group, where I created SQL-based reporting processes that reduced discrepancies by 25% and helped drive a 30% year-over-year increase in payment collections through operational insights and resource optimization.

Beyond technical skills, I take pride in training colleagues, improving team workflows, and using data storytelling to influence strategic decisions. I am deeply interested in opportunities where I can combine data science, automation, and business strategy to solve complex problems and drive measurable impact.

My broader interests include predictive modeling, machine learning, and process improvement. I am passionate about continuously learning and applying new technologies, and I'm seeking a role where I can grow both technically and professionally while helping an organization achieve its goals through data-driven decision making.