Tokyo, Japan
A results-driven professional with hybrid expertise in pre-sales engineering at KEYENCE. And data science and systems engineering at Nomura Research Institute. Proven ability to lead technical PoCs, build complex demand forecasting models, and manage the full lifecycle of cloud-based system development. ■KEYENCE | Customer Success & Pre-Sales Engineer (Aug 2024 - Present) At KEYENCE, I drive the adoption and success of the "KI" data analytics software. I manage the full customer lifecycle for ~50 clients across enterprise and growth segments, from leading technical PoCs and onboarding to negotiating renewals. ◇Key Contributions: ・Consistently surpassed company targets, achieving a 93% renewal rate (vs. 80% avg.) and 110% Net Revenue Retention (NRR) in the enterprise segment. ・Generated over ¥270M in total annual revenue. ・I also lead the training and enablement of new career-hire employees. ■Nomura Research Institute | Data Scientist & Systems Engineer (Apr 2021 - Jul 2024) At NRI, I developed data science models and IT solutions for a major convenience store chain on Google Cloud. ◇Key Contributions: ・As a sub-leader, I managed a 15-member team to build a large-scale AI ordering system, overseeing the project from requirements definition to implementation. ・I significantly improved demand forecasting accuracy through advanced feature engineering for new products and promotions. ・Additionally, I developed various forecasting models and conducted R&D on video analysis using technologies like YOLO. ◇Tech Stack: ・ Proficient in Python, Google Cloud Platform (BigQuery, Looker Studio), Linux, and PyTorch.