Tochigi, Japan
I focus on the development of generative AI solutions that leverage proprietary data to address key business challenges. My career has been a journey from hands-on data engineering and analytics to strategic leadership, consistently focused on translating complex data into actionable, value-driven insights. With a foundation built at major IT platforms (Yahoo! JAPAN), global e-commerce leaders (Amazon), and enterprise data solution providers (Treasure Data), I have a deep understanding of how to harness data to drive growth. I thrive on collaborating directly with decision-makers, turning analytical findings into strategic initiatives. Key areas where I have contributed: - Strategic Business Analysis: Informed key business decisions by analyzing vast datasets to understand customer behavior, profitability drivers, and market trends. - Advanced Predictive Modeling: Contributed to the development of sophisticated models for demand forecasting, customer retention, and trend detection, supporting improvements in core business metrics. - Enhanced Customer Experience: Involved in initiatives to personalize the customer journey through probabilistic analysis of purchase history, guiding users toward relevant products and discoveries. - Data-Informed Marketing: Leveraged multi-dimensional customer clustering to provide recommendations for promotional investments and guide effective marketing strategies. - Data Platform Architecture: Led the design and implementation of enterprise-level Customer Data Platforms (CDPs) and developed a private DMP, creating unified data ecosystems for clients. I am passionate about bridging the gap between advanced technology and real-world business value. My goal is to continue leveraging data and AI to uncover new opportunities, drive innovation, and support data-informed decision-making at the highest level.
Driving initiatives to explore and apply Generative AI in client-facing business scenarios. Contributed to improving client's key business metrics by developing and applying advanced demand forecasting models.
Proposal, implementation, and reporting of strategies and actions to enhance the overall profitability of JP Retail Consumables. Key Contributions: - Supported initiatives to improve customer retention and engagement, with a focus on new users and early journey experience. - Contributed initiatives to that enhanced the shopping journey by helping customers discover relevant products and offers. - Conducted behavioral research and customer segmentation to better understand user motivations and inform marketing and product strategy. - Provided data-driven insights to support decision-making around promotional strategies.
・MLを中心にモデル開発、ビジネスへの展開 ・様々な業種でCDP実装 ・データマネジメント
データ統括本部 事業開発本部 ・DATA FOREST構想 ・企業間PoC推進 データドリブンなビジネス課題探索・解決 （カスタマージャーニーなどの顧客理解、商品戦略・企画、需要予測など）
Data Business Division ・データサービス開発 - AI搭載 Private DMP 「Pleasure Data」開発、サービスリリース(2017年11月30日) ・共同サービス開発パートナー社との業務連携 ・自社クラウドサービスのログ基盤効率化