Shuto Yoneno
Associate Data Analyst @ Centific | Applied Data Analytics
- Role
- Associate Data Analyst at Centific
- Location
- Redmond, WA, US
- LinkedIn followers
- 500 followers
About Shuto Yoneno
A Data Scientist specializing in identity intelligence, AI, and big data analytics, currently driving secure and scalable product development at Mindline Inc. I lead the development of machine learning models and analytical dashboards to improve digital identity verification and fraud detection, contributing directly to business decision-making. I also have hands-on experience in training and fine-tuning AI large language models, enabling advanced natural language understanding and generation. With expertise in feature engineering, model evaluation, and large-scale data pipelines, I combine technical depth with strategic thinking. My background as an NCAA Division I soccer player and high school team captain has instilled strong leadership, collaboration, and resilience. I’m passionate about applying advanced analytics to solve real-world problems and create meaningful impact in AI-driven environments.
Experience
Associate Data Analyst
Nov 2025 — Present · Redmond, WA, US
Microsoft Vendor directly supporting the Microsoft Purview team and reporting to a Microsoft manager.• Analyze large datasets to identify trends, patterns, and insights that drive business and operational decisions.• Use Excel, SQL, and Python for data manipulation, analytics, and visualization.• Build and maintain dashboards and reports using Power BI and Tableau.• Perform application and infrastructure deployments according to defined instructions, processes, and schedules.• Monitor system, application, and infrastructure health to ensure reliability and performance.• Respond to alerts and incidents with timely investigation, troubleshooting, and mitigation.• Ensure systems remain secure and compliant with Microsoft and industry standards.• Collaborate with cross-functional engineering, operations, and PM teams to support release and deployment pipelines.• Maintain documentation for deployments, configurations, runbooks, and incident reports.• Automate routine deployment and infrastructure tasks to improve efficiency and reduce manual workload.
Education
University of Central Arkansas
Bachelor of Science - BS, Applied data analytics
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