If your reports are confusing, your data needs a translator.

I analyze existing business data and data collection systems to explain what’s really happening, where numbers mislead, and what actions actually make sense.

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What I Do

Translate Data
I turn reports, dashboards, and metrics into plain-language explanations of what’s actually happening—and what isn’t supported by the data.

Audit Data Collection
I examine how data is defined, captured, and rewarded to surface gaps, bias, incentive problems, and misleading KPIs that distort decision-making.

Recommend Next Steps
I translate findings into clear options for action—process changes, experiments, or deeper analysis—so teams can move forward with confidence instead of guesswork.

Who This Is For

This is for teams who:

• Have reports but don’t fully trust them
• See conflicting metrics and unclear signals

• Need decisions backed by evidence, not vibes
• Want clarity — not another dashboard

Proof

Real-world case studies and notebooks that show how I translate messy data into clear decisions. Explore NovaWireless — Trust Signal Health, then browse the full case study library.

Customer & offer-level analysis to support pricing, bundling, and retention decisions.

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How I Work

I treat data as a product of real systems—people, incentives, tools, and processes. Most problems aren’t ‘bad analysis’ — they’re bad definitions, broken incentives, or missing context.

Then I move quickly through three steps:
• Clarify the decision and what “success” actually means
• Validate the data (definitions, gaps, bias, incentive effects)
• Translate results into actions: process changes, experiments, or models

The goal is clarity you can act on—not another dashboard you ignore.

Want a second set of eyes on your data?

Tell me what decision you’re trying to make and what data you have. I’ll tell you what’s possible and what I’d recommend as a first step.

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