01
Advisory
Executive decision systems
Turning fragmented business data into clear operating views: metric definitions, recurring reporting, stakeholder-facing dashboards, and analysis workflows that support real decisions.
AI-enabled strategy and data systems consultant
Junyi (Stanley) Ye
I help turn messy operational, financial, and product data into useful decision systems.
My background combines applied mathematics, data science, public policy, analytics engineering, and AI-assisted automation. I work best where business judgment and technical execution need to meet: clarifying metrics, designing reliable reporting workflows, and using modern AI tools to compress analysis cycles without losing rigor.
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Consulting Focus
Where business analysis, data systems, and AI-assisted execution create leverage.
AI-assisted business analysis
Decision intelligence systems
KPI design and executive reporting
Data quality and validation workflows
Operational and financial analytics
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Working Principles
The standard I try to hold when analysis moves from a one-off request into an operating workflow.
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Start with the decision, not the dashboard
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Make metrics defensible before making them visible
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Use AI to accelerate judgment, not replace it
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Design workflows that teams can actually maintain
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Practice Areas
Public-facing themes only. Specific client, employer, and document details stay private.
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Implementation
AI-enabled analysis workflows
Applying AI tools to speed up data preparation, anomaly review, research synthesis, and reporting drafts while keeping validation, traceability, and human review in the loop.
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Practice
Operational performance analytics
Diagnosing performance patterns across operational processes, surfacing bottlenecks, and translating findings into practical reporting and process-improvement systems.
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Contact
The best way to reach me is email. Public profiles are linked below for light context.