Winnipeg, Manitoba, Canada
â–Ş Developed a machine learning vehicle appraisal pricing model in Python, accounting for vehicle attributes and live market conditions. Increased prediction accuracy by 80% relative to the industry-standard software, saving $XXXXXX in annual software costs and generating approximately $XXXXX in monthly revenue for a partner company now servicing XX dealerships.
â–Ş Led the end-to-end development and deployment of a survival analysis XGBoost Cox Regression model to identify and rank service customers at-risk of churn. The model achieved an exceptional test C-index of 0.9929, enabling dealerships and the marketing team to perform targeted outreach and retention efforts.
▪ Led the consolidation of X.XX million customer records into a “Golden ID” of XXXXXX unique customer profiles by developing new data entry standards and designing a robust matching system.
â–Ş Spearheaded the redesign of a marketing automation data model, preventing logical inconsistencies in a subprime customer journey and leading to a campaign that reached over XXXXX customers with XXXXX emails sent, achieving a 50.1% open rate.
â–Ş Led the integration and consolidation of diverse data sources into Snowflake using SQL, with thorough data validation within the data pipelines to ensure accuracy and reliability, saving $XXXXX in annual marketing automation software expenses.
â–Ş Automated reports on service and sales performance, saving 15 labour hours per month and internalizing $XXXXX in annual third-party reporting costs.