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Sho Sekine is a Senior Applied Data Scientist at Mercari, Inc., where notable achievements include leading a machine learning team that contributed to a ¥310M profit lift through the development of coupon distribution optimization systems. Prior experience includes serving as Team Leader and Principal Data Scientist at Fast Retailing, where leadership in digital marketing data analysis and strategic store development generated significant business profits. Sho Sekine's earlier roles include Senior Data Scientist at SAS, delivering predictive control systems that reduced production defects, and a Software Engineer at Fujitsu, involved in developing robust streaming platforms and anomaly detection models. Sho Sekine holds a Master of Engineering in Computer Science from Waseda University.