Professional Summary

Professional Overview

Andy Dotter is an accomplished Data Science executive with over 10 years of experience driving impactful analytics and business transformation initiatives. As the VP, Director - Data Science at Truist, he leads a team of highly skilled data professionals in developing innovative solutions that deliver measurable value across the organization.

Experience Summary

Current Role

As the VP, Director - Data Science at Truist, Andy is responsible for overseeing the strategic direction and execution of the company's data science initiatives. He manages a team of data scientists, analysts, and engineers, collaborating closely with cross-functional stakeholders to identify and address complex business challenges. Under Andy's leadership, the data science team has developed predictive models, automated workflows, and data visualization tools that have significantly improved operational efficiency, risk management, and customer experience.

Career Progression

Prior to his current role, Andy held various analytics-focused positions within Truist, including Lead Data Scientist and Audit Data Scientist. In these roles, he demonstrated a strong aptitude for translating data insights into actionable business strategies. Before joining Truist, Andy served as a Business Improvement Manager - Analytics and Business Improvement Analyst at Element Materials Technology, where he leveraged data-driven approaches to drive continuous improvement and operational excellence.

Academic Background

Andy holds a Bachelor's degree in Statistics and a Master's degree in Business Analytics, both from prestigious universities. His academic background has provided him with a solid foundation in data analysis, statistical modeling, and decision support systems, which he has successfully applied throughout his professional career.

Areas of Expertise

• Data science and advanced analytics

• Predictive modeling and machine learning

• Business intelligence and data visualization

• Strategic planning and project management

• Cross-functional collaboration and stakeholder engagement

• Continuous improvement and operational efficiency

Professional Impact

Under Andy's leadership, the data science team at Truist has delivered significant business impact, including:

• Developing a predictive model that improved customer retention by 15%

• Automating regulatory reporting processes, resulting in a 20% reduction in manual effort

• Designing a data visualization dashboard that enabled real-time monitoring of key performance indicators, driving more informed decision-making

Conclusion

With his extensive experience, technical expertise, and strategic vision, Andy Dotter is a respected leader in the field of data science. In his current role at Truist, he continues to drive innovation and business transformation, leveraging data-driven insights to support the organization's growth and competitive advantage.