About

Ninghua (Nathan) Wang is a highly accomplished leader in machine learning and data science with over 9 years of relevant experience. He has a Ph.D. in Geography from the University of California and San Diego State University, as well as an M.A. in Geography and an M.S. in Electrical Engineering from the University of Cincinnati. He also holds a Bachelor's degree in Applied Mathematics and Microelectronics from Peking University. Nathan has worked with some of the biggest names in the tech industry, including Tencent and WeCash. At Tencent, he led a team of 15 machine learning engineers and data scientists, where he focused on improving the conversion rate of Tencent Ads. He achieved a 30% increase in conversion rate by creating advertiser tools such as ROI reinforcement, personalized landing pages, and A.I. auto-dial for lead evaluation. At WeCash, Nathan was the Country General Manager and led a team of 40 members in São Paulo, Brazil, and Beijing, China. He built several personal loan products and achieved break-even on variable costs. He also established an A.I.-driven credit policy and an anti-fraud strategy that cut the default rate in half. He leveraged bureau data and alternative data to assess the creditworthiness of applicants and formed partnerships with 7 Brazilian banks, jointly selling $20 million reais’ loan. Nathan’s technical skills include ML, data science, research science, search, reinforcement learning, and deep learning. He has a strong educational background and has completed a Complexity Systems Summer School at the Santa Fe Institute. Nathan is a highly motivated and results-oriented professional who is passionate about using his skills to drive business growth. He has a proven track record of delivering results and is a valuable asset to any organization.