Jeff Wingo
About Jeff Wingo
Jeff Wingo is a Senior Data Scientist at Point Predictive in San Diego, California, with a Master's Degree in Physics from the University of California, Irvine. He specializes in creating pricing models and fraud detection analytics, utilizing skills in AWS, Python, R, SQL, and Machine Learning.
Work at Point Predictive
Jeff Wingo serves as a Senior Data Scientist at Point Predictive, a role he has held since 2021. Based in San Diego, California, he focuses on leveraging data science techniques to enhance decision-making processes within the organization. His work involves developing analytical models that address complex challenges in the financial services sector, particularly in pricing and fraud detection. Wingo's contributions are integral to the company's mission of improving risk assessment and operational efficiency.
Education and Expertise
Jeff Wingo obtained a Master’s Degree in Physics from the University of California, Irvine, where he studied from 2014 to 2015. Prior to that, he earned a Bachelor’s Degree in Physics from the University of South Florida, completing his studies from 2010 to 2014. His academic background provides a strong foundation for his analytical skills, particularly in solving complex problems. Wingo possesses expertise in various technical areas, including AWS services (S3 and EC2), Python, R, SQL, and Machine Learning.
Background
Jeff Wingo's background is rooted in physics, with a focus on cosmology and elementary particles during his Master’s studies. This research experience has equipped him with a deep understanding of complex systems, which he applies in his current role. His transition from academia to the financial services industry highlights his ability to adapt scientific principles to practical applications, particularly in data analysis and modeling.
Achievements in Data Science
In his role as a Senior Data Scientist, Jeff Wingo has developed innovative analytical tests tailored for cryptocurrency assets and loan applications. His work in creating pricing models and fraud detection analytics has made significant contributions to the financial services industry. These initiatives demonstrate his capability to apply advanced data science techniques to real-world challenges, enhancing risk management and operational strategies.