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Michael Li
Data Science at Curology
Professional Background
Michael Li is a highly skilled data science professional with extensive experience in implementing data-driven solutions that enhance marketing programs. Throughout his career, Michael has earned a reputation as a decision scientist, demonstrating a profound commitment to leveraging data to foster growth and improve operational efficiency. His distinctive blend of analytical skills and strategic thinking has enabled him to lead and contribute to several large-scale projects that have had a significant impact on the organizations he has worked with.
One notable highlight from Michael's career is his successful development and deployment of Lifetime Value (LTV) models, which play a crucial role in optimizing marketing spend. This project exemplifies his ability to blend data analytics with strategic marketing decisions, enabling businesses to allocate resources more effectively and maximize their return on investment. In addition to his work with LTV models, Michael has conducted rigorous scientific experiments to measure the return on advertising spend (ROAS) as well as multi-touch attribution models—critical components for any marketing team looking to harness the power of data.
Michael's career progression includes significant roles across various organizations, where he has consistently demonstrated his expertise in data analysis, forecasting, and marketing analytics. Some of the notable companies he has worked with include Curology, Strava, Instacart, GSN (Games & TV), LeapFrog, Electronic Arts, and Google. Each of these positions has further honed his analytical skills and equipped him with a broad understanding of financial planning and analysis, strategic planning, and experimentation, all essential for driving business success.
Education and Achievements
Michael's educational background includes a Master of Science in Civil and Environmental Engineering and a Bachelor of Arts in Economics, both from Stanford University. His studies have provided him with a robust foundation in both quantitative and qualitative analysis, enriching his ability to interpret complex data sets and uncover actionable insights.
Through his academic and professional journeys, Michael has developed a diverse skill set that encompasses not only technical skills but also strategic acumen. His proficiency in programming languages such as SQL, Python, and R, combined with tools like Tableau, Excel, and Unix Shell, empowers him to perform intricate data analyses and visualizations efficiently. Additionally, his experience with financial modeling and platforms such as SAP Business Objects, Hyperion, and Demantra highlights his versatility and capability to tackle complex data-related challenges across various industries.
Achievements
Some of Michael's key achievements include:
- Successful implementation of innovative LTV models that significantly improved marketing spend optimization for several organizations.
- Design and execution of scientific experiments that provided critical insights into advertising spend effectiveness.
- Contribution to multi-touch attribution models that have enhanced the accuracy of marketing channel performance analysis.
- Proven record of employing data analysis to inform strategic planning processes across multiple functions, ensuring alignment between financial objectives and marketing initiatives.
Michael Li is committed to the continuous evolution of his professional capabilities and remains actively engaged in the data science community. His expertise in data-driven decision-making, combined with his educational background and diverse professional experience, positions him as a leading figure in the field of data science and marketing analytics.