Hello! I'm Griffin Brown, a data professional based in Park City, Utah. My journey began in the beautiful landscapes of Vermont, where I spent my childhood immersed in outdoor activities like skiing, biking, and various sports. Growing up, I worked at my family's small business, the Cold Hollow Cider Mill, which gave me a broad exposure to different roles and responsibilities.

I pursued competitive Alpine Ski Racing from a young age. This ultimately led me to attend Burke Mountain Academy and Mount Mansfield Winter Academy. These experiences paved the way for my spot on the NCAA Division 1 Alpine Team at the University of Vermont (UVM). Balancing academics and athletics, I earned a Bachelor of Science in Applied Mathematics with a minor in Computer Science. After my freshman year, I joined the US Ski Team, competing internationally while pursuing my degree.

Post-retirement from competitive skiing in 2019, I sought new challenges and moved to Park City, Utah. Here, I interned at Snowbird LLC in the finance department and coached Alpine Skiing at Park City Ski and Snowboard (PCSS). This phase sparked my interest in data, leading me to initiate data analysis projects that informed strategic decisions for PCSS.

My current role as a Business Intelligence Engineer at the Utah Olympic Legacy Foundation (UOLF) has been transformative. Since August 2021, I have spearheaded a company-wide data intelligence initiative, standardizing our ELT pipeline across multiple systems. This initiative has not only saved significant manual intervention time but also uncovered valuable insights to optimize operations and drive decision-making.

I am currently obtaining a Master of Science in Business Analytics from the University of Utah, where I hone my skills in data mining, predictive analytics, and data visualization. My technical expertise includes SQL, Snowflake, PowerBI, dbt, Python, and more. I am passionate about leveraging data to create impactful solutions, and my projects range from developing scalable data pipelines to implementing machine learning models for enhanced decision-making. I have even grown to create web apps for practical personal and business applications.

My strengths lie in seeking out information, delivering timely and effective products to stakeholders, and building strong connections with them. Looking ahead, I aim to grow as a data professional at a larger company to better understand data at scale and continue pushing the boundaries of what's possible with data.