Caroline L.
About Caroline L.
Caroline L. is a Data Scientist based in Toronto, Ontario, Canada, currently working at ResQ since 2020. She has extensive experience in analytics and data infrastructure, having previously held roles at Opencare.com, Rubicon Project, Chango, and OANDA.
Work at ResQ
Currently, Caroline L. serves as a Data Scientist at ResQ, a position she has held since 2020. In this role, she leads the development of analytical solutions that support Data Scientists and Business Operations across the organization. Caroline has transformed ResQ's data infrastructure, moving from a real-time read-only replica to a comprehensive data warehouse utilizing dbt and dimensional modeling principles. She also provides training for new team members and cross-functional teams, ensuring a smooth onboarding process and knowledge transfer.
Previous Experience in Analytics
Before joining ResQ, Caroline L. accumulated significant experience in data analytics. She worked as a Product Analyst at Opencare.com from 2019 to 2020. Prior to that, she was a Manager of Analytics at Rubicon Project from 2015 to 2017 and a Senior Data Analyst at Chango, which was acquired by Rubicon Project, from 2013 to 2015. Additionally, she served as a Marketing and Product Analyst at OANDA from 2011 to 2013. This diverse background has equipped her with a strong foundation in data analysis and business intelligence.
Education and Expertise
Caroline L. holds an Honours Bachelor of Science degree from the University of Toronto, where she studied Actuarial Science and Economics. Her educational background provides her with a solid understanding of statistical methods and economic principles, which she applies in her current role as a Data Scientist. Caroline's expertise includes developing analytical solutions, data infrastructure transformation, and performing complex analyses such as cohort, clustering, and classification to drive business insights.
Data Practice Development
At ResQ, Caroline L. established the data practice, focusing on identifying gaps in the existing infrastructure and developing foundational datasets. This initiative supports data-driven decision-making within the organization. She collaborates with stakeholders to define business processes and metrics, effectively bridging the gap between technical specifications and business definitions. Her efforts contribute to enhancing operational efficiency and improving the overall quality of data management.
Quality Assurance in Data Management
Caroline L. emphasizes quality assurance in data management at ResQ. She writes extensive tests and documentation to ensure the integrity of both source and transformed data. Her approach to data quality is integral to maintaining reliable analytics and reporting processes. By performing detailed analyses to understand the impact of product changes on key business drivers, she aids in improving operational efficiency and supports strategic decision-making.