• Own and continuously improve Joe Fresh intelligent campaign targeting algorithms. Achieved 9% improvement in return on investment YTD.• Implement A/B testing on personalized campaigns in order to increase customer engagement. Achieved 3% increase in PC Optimum App scan rate YTD.• Build recommendation system for predicting customer level transaction. Scored as high as 0.7 mean average precision.• Act as the subject matter expert on customer loyalty, sales, and transaction data to support behaviour analysis.• Examined flyer pricing and developed a new pricing strategy for categories with mixed price elasticity levels. Led to saving of $100k annually.• Conducted post-mortem analysis on effectiveness of in-store marketing and major promotional events.• Actively managed sales forecast algorithms by model tuning with respect to merchandising planning targets and market trends.• Supervise and coach intern/junior analysts to validate the quality and integrity of data and reportingprocesses used in generating executive level reportingTechnologies: Teradata, BigQuery, Python (Numpy, Pandas, and Scikit-learn)

• Neighbourhood Information Tool: Conducted analysis to identify variables affecting level of well-being in Region of Peel. Used machine learning to create index scores assessing well-being of neighborhoods in NIT.• Child Care Demand model: Developed and monitored a forecast model using supervised machine learning to obtain licensed child care utilization rate.• Researchers’ Network Communication Manager: Facilitated sessions involving well-established speakers in research projects to promote learning in the organization.Technologies: Python (Pandas, Scikit-learn, Matplotlib) and Salesforce.