- Conducted predictive analysis to report on the impact of events, promotions, and new products, resulting in a 15% increase in sales and providing actionable insights for strategic planning.- Conducted in-depth data analysis to uncover streaming patterns, customer churn, and communication effectiveness, leading to revenue optimization strategies.- Designed and executed A/B tests to evaluate the performance of marketing campaigns and ensure data-driven decision-making.- Utilized Python and SQL to extract, transform, and analyze large datasets to provide actionable insights.- Maintained and updated data models and business rules, ensuring the accuracy and relevance of analytical tools and processes.- Designed data tables, processes, and files for efficient data management.- Provided statistical guidance on marketing campaigns, contributing to data-driven campaign optimization and successfully improved marketing campaign performance by 10%.- Handled reporting, analysis, and data management of customer and transactional level data, facilitating data-driven decision-making and enhancing customer insights for targeted marketing strategies.

“A Roadmap for Digital Transformation of Ontario Museums” is a collaborative project between GeorgeBrown College, the Ontario Museum Association (OMA), and the Toronto History Museum with supportfrom Environics Analytics.- Assist in building knowledge of museum visitors in Ontario and visitor segments to support the roadmap to digitalization. This includes analysis of primary survey research and secondary consumer trackings such as Environics Analytics or Vividata or other sources. - Collaborated with senior leadership to translate their requests into actionable tasks, facilitating clear communication with cross-functional teams.- Identified data gaps and proposed solutions to enhance data quality and reliability.- Utilized advanced data visualization tools, including Power BI and Tableau to create informative reports and dashboards.- Conducted statistical analysis and utilized data segmentation techniques to provide valuable insights.- Developed customer personas by analyzing various data sources, including demographic, behavioural, and psychographic data, to understand customer needs and preferences better.