At Columbia Sportswear Company, our team focuses on optimizing the direct to consumer segment, where my expertise in SQL, Python, and Power BI empowers us to drive actionable insights. My role encompasses a spectrum of challenges, from resolving immediate data inquiries to conducting extensive multi-month research projects. These projects harness advanced data warehousing technologies such as ADW and Azure Data Lake, and involve deep dives into topics such as: promotion profitability, market basket analysis, weather impact predictive forecasting, supply chain success, and many other consumer behavior analytics.Within the past two roles, I have built a reputation as a versatile "Swiss Army Knife" of data analytics, not only meeting backend data pipeline requirements but also crafting business insights through executive dashboards and detailed analysis stories. Our achievements in leveraging machine learning for predictive sales analytics and in developing comprehensive visualization tools exemplify the collaborative success and technological innovation that I am committed to at Columbia.
Listed skills include Minitab, Matlab, Microsoft Office, Ampl, and 7 others.