Shay Levy
About Shay Levy
Shay Levy is a Predictive Analytics Solution Manager at Pecan AI, specializing in integrating predictive analytics solutions into client data infrastructures. With a background in data analysis and visualization, Levy has worked at AIG and Tekma.io, focusing on machine learning applications for revenue forecasting and cross-selling opportunities.
Work at Pecan AI
Shay Levy currently serves as a Predictive Analytics Solution Manager at Pecan AI, a position held since 2022. In this role, Levy focuses on integrating Pecan AI's predictive analytics solutions into clients' existing data infrastructures. This involves working closely with data leaders and internal teams to ensure that client needs are translated into actionable predictive models and insights.
Previous Experience at AIG
Before joining Pecan AI, Shay Levy worked at AIG as a Data/BI Analyst from 2012 to 2017. During this five-year tenure, Levy gained experience in various analytical tasks, contributing to the company's data-driven decision-making processes.
Experience at Tekma.io
Shay Levy worked as a Data Visualization Analyst at Tekma.io from 2017 to 2019. In this role, Levy focused on visualizing data to support business intelligence efforts, enhancing the understanding of complex datasets for stakeholders.
Education and Expertise
Shay Levy earned a Bachelor of Science in Information Systems from Michigan State University, studying from 2008 to 2012. This educational background provided a foundation in data analysis and systems management, which supports Levy's current work in predictive analytics.
Machine Learning Applications
In the role of Predictive Analytics Solution Manager, Shay Levy works on diverse use cases that include revenue forecasting, lead scoring, and identifying cross-selling opportunities. These applications utilize machine learning models to derive insights that drive business strategies.