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Yeiko André

Hello, I am

Operations & BizOps Professional.

I turn ambiguity into structure and structure into results.

Execution-focused. | Systems thinker. | Hands-on operator.

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About Me
Operations professional with hands-on experience in supply chain, inventory, and cross-functional execution. I work best where things still need to be ordered, connected, and scaled and I'm equally comfortable designing the system and running it day to day.
My Approach
I start by understanding how things actually work, not how they're supposed to. Then I look for friction, build the simplest solution, and make sure it sticks. Clarity over complexity, always.
How I Work
My work starts with observation, analysis, and a constant search for understanding. It’s not about reaching an outcome; it’s about the clarity and precision of that outcome, and more importantly, what we do with it.

• Understand how work really happens on the ground
• Turn priorities into clear workflows and ownership
• Evaluate trade-offs before committing to decisions
• Prefer simple systems over complex processes

How I Think

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Operational Analysis

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Strategic Reporting

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Analytical Automation

• Structure workflows so teams can execute consistently
• Align daily work with business priorities and goals
• Build visibility into operations through simple tracking
• Connect systems, data, & people around real operational goals

How I Operate

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Methodologies

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Systems Integration

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Data Foundations

• Connect daily operations to financial outcomes
• Understand pricing, margins, and demand dynamics
• Evaluate trade-offs between cost, speed, and service
• Focus on decisions that improve real business outcomes

Business Lens

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Financial Thinking

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Statistical Thinking

BI Projects
End-to-end dashboards built from scratch. Synthetic data modeled in Python, covering sales, inventory, and supply chain operations, same business model, two independent datasets.

YSKN_1

YSKN_0

Demand Planning Analysis

Built using transactional data from the Online Retail II dataset (UCI Machine Learning Repository). Most of the data was simulated for the exercise; exact figures are not operationally accurate, but the underlying logic is.
 
The goal is to provide visibility into demand behavior and reorder decisions at the SKU level: when to order, how much, and why.
SKU and alpha (α) are adjustable in the interactive file.

Operational Evidence

  • 80K SKUs reclassified for ERP accuracy

  • +11% service level improvement

  • 14 branches optimized allocation

  • Emergency shipments reduced

  • 93% faster financial reporting

  • 7-8% credit exposure​

  • Clear receivables & profit visibility

  • Cash-first model strengthening liquity

  • Manual adjustment process eliminated

  • Validated SKUs, quantities, and costs

  • Full traceability for inventory changes

  • More reliable ERP inventory data

Get to know me
A few short videos to give you a sense of how I think and work.
Introduction (0:33)
How I Work (1:37)
Operating Experience (1:32)
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