Kosuke Homma
About Kosuke Homma
Kosuke Homma is a Senior Data Science Manager at Asurion, specializing in machine learning applications and big data analytics.
Current Position at Asurion
Kosuke Homma is currently employed as a Senior Data Science Manager at Asurion, a role he has held since 2017. At Asurion, he is responsible for leading a team specializing in machine learning applications that cover various domains, including natural language processing, computer vision, audio processing, and predictive analysis. His expertise in these areas plays a crucial role in advancing the company’s technological capabilities.
Previous Experience at NEC Research & Development
Prior to his current role at Asurion, Kosuke Homma worked at NEC Research & Development. He initially joined the organization as a Researcher from 2013 to 2015. He was subsequently promoted to Senior Researcher, a position he held from 2015 to 2017. During his tenure at NEC Research & Development, Kosuke was involved in various research projects and contributed significantly to advancements in his field.
Educational Background
Kosuke Homma pursued his higher education at The University of Texas at Austin, where he earned a Doctor of Philosophy (PhD) in Mathematics. His academic background has provided a strong foundation for his career in data science and research. Additionally, Kosuke holds a notable Erdös number of 3, demonstrating his close collaborative distance to the renowned mathematician Paul Erdös.
Specialization in Machine Learning
In his current role, Kosuke Homma leads various machine learning initiatives. His team’s focus spans across natural language processing, computer vision, audio processing, and predictive analysis. This specialization enables the development of innovative solutions that contribute to the company's data-driven decision-making processes.
Consultation in Big Data Analytics
Kosuke Homma is also known for his expertise in handling and analyzing super big data analytics. He provides consultation services that help organizations manage and derive insights from large datasets. His contributions ensure that complex analytical tasks are efficiently managed, facilitating data-driven strategies and operations.