Vice President of Analytics and Data Science
New York, New York, United States
Professional Overview
Everett Sussman is an accomplished analytics and data science leader with a proven track record of driving strategic business impact across the media and finance sectors. As the Vice President of Analytics and Data Science at Kafene, he spearheads the company's data-driven initiatives, leveraging his extensive expertise in predictive modeling, data engineering, and business intelligence to uncover valuable insights and inform key decision-making.
Experience Summary
Current Role
In his current role as Vice President of Analytics and Data Science at Kafene, Everett is responsible for overseeing the company's data strategy, leading a team of highly skilled analysts and data scientists. He has played a pivotal role in transforming Kafene's data capabilities, implementing advanced analytics solutions that have enabled the organization to make more informed, data-driven decisions. Under his leadership, Everett has driven significant improvements in customer segmentation, predictive churn modeling, and campaign optimization, contributing to Kafene's overall growth and profitability.
Career Progression
Prior to his current position, Everett served as the Senior Director of Analytics at Kafene, where he was instrumental in building the company's data and analytics function from the ground up. Before joining Kafene, he held roles as a Senior Analyst at Disney Streaming Services and a Fixed Income Strategies Analyst at Morgan Stanley, where he honed his skills in quantitative analysis and financial modeling.
Academic Background
Everett holds a Master's degree in Quantitative Finance from the University of Pennsylvania, where he specialized in financial engineering and computational finance. He also earned a Bachelor's degree in Mathematics and Computer Science from the Massachusetts Institute of Technology (MIT), graduating with honors.
Areas of Expertise
- Predictive analytics and machine learning
- Data engineering and business intelligence
- Customer segmentation and churn modeling
- Campaign optimization and attribution
- Financial modeling and quantitative analysis
- Cross-functional collaboration and team leadership
Professional Impact
During his tenure at Kafene, Everett has spearheaded several high-impact projects that have delivered measurable business results. He led the implementation of a sophisticated customer segmentation model that enabled the company to personalize its marketing efforts and improve customer retention by 18%. Additionally, Everett's work on predictive churn modeling has helped Kafene proactively identify and retain at-risk customers, contributing to a 12% reduction in overall churn.
Conclusion
With his exceptional analytical expertise, strategic mindset, and proven track record of driving organizational transformation, Everett Sussman is a highly sought-after leader in the analytics and data science field. As he continues to advance in his career, he remains committed to leveraging data-driven insights to unlock new growth opportunities and drive sustainable success for Kafene and its stakeholders.
