Members of our AISC give a lecture at the University of Electro-Communications
Data science lectures continued from 2018, will be held in FY2024
Since 2018, we have been participating in the University of Electro-Communications Data Entrepreneur Fellows Program.
<Data Entrepreneur Fellows Program>
This is a human resources development program offered by the Data Entrepreneur Consortium, which was selected for the Ministry of Education, Culture, Sports, Science and Technology's Science and Technology Human Resource Development Subsidy Program for Data-related Human Resource Development.
This year, the following four people from our research and development division, the Advanced Innovation Strategy Center, will be speaking as lecturers for "Creating Regression Models (Live Broadcast)" as part of "Applied Learning II-2," which will be held in four sessions starting on July 6th.
Takehiko Hashimoto
After working at Sier (engineer for 5 years, researcher for 2 years) and a marketing research company (3 years), he joined BrainPad Inc. in 2008 as a senior data scientist, where he was mainly involved in data analysis in the marketing field and launching new businesses to train data scientists. He participated in the launch of the The Japan DataScientist Society, and was appointed Secretary General of the organization in 2015 (-2018). He also focuses on industry-academia collaboration and human resource development activities, such as giving lectures at multiple universities, including Shiga University, Keio SFC, and Waseda University. In April 2017, he joined GA technologies and participated in the launch of the Advanced Innovation Strategy Center (formerly the AI Strategy Office). He is responsible for the Group's data management and external affairs. From April 2019, he has been a visiting associate professor at the University of Electro-Communications, National University Corporation, Industrial Academic-Government Collaboration Center. From April 2021, he has been an industrial advisor at the Faculty of Data Science, Shiga University, National University Corporation. Member of the Ministry of Land, Infrastructure, Transport and Tourism's Real Estate ID Rule Review Committee from April 2020 to March 2021. Publications: "Data Science Exercises for Working Adults" (Statistics Bureau, Ministry of Internal Affairs and Communications), "Statistics Guidance" (Nihon Hyoronsha/co-author), and others.
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Kosuke Fukunaka
He has worked as an assistant at the Faculty of Letters, Arts and Sciences, Waseda University, and worked at the Sanno University, before moving to his current position. He received his PhD in Letters from the Graduate School of Waseda University. In his first career, he was a researcher at Waseda University, researching statistics, machine learning, and test theory, but he became interested in practical applications and became a data scientist. While at the Sanno University, he supported the training of data scientists within companies, supported data analysis within companies, and provided consulting for implementing data analysis projects within companies. In his current position, he analyzes real estate and finance-related data, and is engaged in planning new services using AI and improving business efficiency. In 2017, he won the Grand Prize at the Data Science Awards hosted by The Japan DataScientist Society for the joint project "Data Science and Work Style Reform" with Tokyo Metro Co., Ltd. In 2019, he won a special prize at the 3rd Infrastructure Maintenance Awards hosted by the Ministry of Land, Infrastructure, Transport and Tourism for "Construction of a system to extract peeling and floating of lining concrete in subway tunnels," and has obtained two patents. He won the Grand Prize at the ResorTech EXPO 2021 in Okinawa, sponsored by Okinawa Prefecture, in fiscal year 2021. He has also published many other papers and books on data science.
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Yoshiyasu Shirato
Graduated from the Faculty of Economics at Tohoku University. Joined GA technologies in 2017 and engaged in web application development. Utilizing his experience as an engineer, he launched multiple products as a PdM and created business KPIs as a data analyst. Joined the Advanced Innovation Strategy Center in 2022.
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Wang Hao
Graduated from the Graduate School of Economics at Kyoto University. In graduate school, he studied the Fama-French five factor model based on the Chinese stock market. In April 2021, he joined GA technologies as a new graduate and researched the factors that influence customers' repeat purchases. He then changed his topic, identified new factors that affect rent, and created rent prediction logic used in actual work rather than machine learning. He is currently developing a rent prediction app that reproduces that logic.
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