Evan Vaughan

Background

About Evan Vaughan

Data Architecture- Developed robust, scalable, and secure multi-tenant data architecture that adheres to strict security and compliance standards, particularly with regard to Personally Identifiable Information (PII)Marketing Analytics- Designed and implemented scalable marketing analytics capabilities for over 50+ clients (Nike, The North Face, Spanx, Casper, Rite Aid, Hard Rock Sportsbook & Casino)- Generated ad hoc analysis for customer analytics (CLV, customer segmentation, churn)Operational & Revenue Analytics- Built automated Payroll-to-Revenue model across different departments to determine operational efficiencyData Science- Designed and product managed multi-channel revenue prediction model utilizing endogenous and exogenous variables (ELMO)- Developing in-house LLM capabilities for automating administrative tasks- Utilized transfer learning for object detection to use as feature to analyze video and image creative content- Built image recognition model using CNNs for predicting architectural styleManagement- Hired and trained in-house team of 14 team overseeing data science, analytics, and data engineering- Developed and maintained relationships with key stakeholders across the org to allow for high-impact domain-specific modelsCurrent stack- Google Cloud Infrastructure / Google BigQuery, dbt, Funnel, Fivetran, Sigma Computing, Hex, Deepnote, SQL, Python