About

Craig Nies is a highly experienced Chief Technology Officer currently working at Applied Data Finance, a leading online lender that specializes in providing affordable loan options for underbanked consumers. With over 32 years of relevant experience, Craig has established himself as a leading expert in the field of predictive analytics, big data, and machine learning. Prior to joining Applied Data Finance, Craig worked as a Software/Analytics Consultant at Nies Consulting, where he focused on building and deploying systems for predictive analytics. He was responsible for a range of consulting projects, including software development, data modeling, predictive modeling environment setup, "Big Data" systems, real-time model deployment, and machine learning. Craig also served as the Chief Analytics Officer at Think Finance/Elevate Credit, where he was responsible for all predictive analytics. He developed new models for marketing, risk, fraud, behavior, and collections and conducted research and development of advanced modeling techniques that leveraged new Big Data sources and technologies. Craig's educational background includes a Bachelor's degree in Computer Science from the University of California, which he completed in 1991. Throughout his career, he has developed expertise in a range of technologies, including Big Data, machine learning, software engineering, and research science. At Applied Data Finance, Craig is responsible for leading the company's technology strategy and overseeing the development of new products and services. He is also focused on driving innovation and ensuring that the company remains at the forefront of the industry. With his extensive experience and expertise, Craig is a valuable asset to Applied Data Finance and the wider technology community.