Principal Data Scientist
Current- Led the development of the Customer Scorecard, an high-level report on overall customer trends across retail and pharmacy for use by executives for forming omnichannel company-wide strategies. Created automated scorecard reports and self-service tools that allow for deep dives into the customer scorecard data.- Created a system of self-service databricks dashboards that enable business analysts to access and explore data directly without requiring coding skills.- Identify data needs and build out a semantic data layer that makes accessing and pulling data much simpler and easier for users across the organization.- Act as the top Insights SME when it comes to customer-level data by consulting on projects across the organization, creating documentation, collaborating with IT teams on the migration of our data systems from Hadoop to Azure, and responding to executive-level data requests.- SQL, Python, PySpark, Hadoop, Databricks, Azure