Your data already has the answers.

I help companies find them. Forecasts, dashboards and leaner processes for leaders who need to decide with clarity.

Process optimizationData analysisForecastingAutomation
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Where isthe moneyleaking?

  • Processes

    Why do our orders keep arriving late?

  • Forecasting

    How much will we sell next quarter?

  • Markets

    Which markets should we enter first?

  • Automation

    Can my team stop doing this by hand?

Every answer starts the same way. I learn how your company works today, find where the data and the process don’t add up, and turn that into concrete actions.

Understand. Analyze. Improve. Then I measure the change, so you know it worked.

From raw data to real change.

Six ways I help companies decide better and work with less friction.

  • Leaner processes

    I map how work really flows, find the delays and unnecessary steps, and redesign the process so your team does more in the same time.

    Process mapping · Bottlenecks · Lean

  • Data you can trust

    I gather information scattered across spreadsheets, systems and the field into one clean, organized source.

    Data collection · ETL · Data cleaning

  • Reports that point to what matters

    I analyze your data and bring the unusual to the surface: the anomalies, trends and variances that deserve a decision.

    Exploratory analysis · Anomaly detection · Executive reports

  • Your operation on one screen

    I build dashboards that update themselves from your own data, so you can check the whole business every morning.

    Interactive dashboards · KPIs · Live data

  • See what’s coming

    I build forecasts and predictive models for sales, demand or markets, so you plan with numbers instead of hunches.

    Forecasting · Machine learning · Market segmentation

  • Less manual work

    I automate repetitive tasks and set up AI-powered bots for customer service, cutting manual effort and errors.

    Automation · AI chatbots · Integrations

Real problems, solved.

Three problems, three industries, one method.

Agricultural exports · Master’s thesis, UDLA 2026

Where should Ecuador sell its crops?

Problem
Ecuadorian agro-exporters still choose markets the traditional way, which raises commercial risk in a global market driven by data.
What I did
With Francesca Miranda Morrone, I built a market intelligence system that combines national crop supply (INEC) with global trade data (CEPII BACI), groups markets by similarity and predicts which ones are attractive.
Result
A model that spots promising markets with a 0.973 ROC AUC, with a focus on Europe and the Middle East.
Read the thesis ↗
Private security · Operations

The whole operation on one screen

Problem
A company with processes, inventory and a vehicle fleet to control, and no single view of how the business was doing.
What I did
I optimized the core processes and connected inventory and vehicle tracking to an interactive dashboard that updates itself from the company’s own data. I also set up bots for customer service.
Result
The owner reviews the entire operation every day on one screen. Less time lost on operational tasks, and clearer focus areas for the team.
Company name kept confidential
Construction · Project oversight

Data science before it had a name

Problem
Overseeing construction projects produces a constant stream of field data, and good decisions depend on reading it well.
What I did
As a project supervisor, I collected field data systematically and used it to build predictions and projections for the projects in my charge.
Result
Decisions backed by data, years before I knew this work was called data science.

An engineer who measures before deciding.

I’m a civil engineer with a master’s degree in Business Intelligence and Data Science from Universidad de las Américas (UDLA).

Long before I knew the field had a name, I was already doing data science on construction sites: collecting data, building predictions and projecting outcomes. Today I bring that same field-tested rigor to companies in any industry.

I keep my eye sharp by working through public datasets, hunting for the anomalies that belong in a report to the board.

  • Civil Engineer
  • MSc Business Intelligence & Data Science · UDLA

Tell me the problem.

Tell me what’s slowing your company down. In a first conversation we’ll see whether data can solve it, and how.

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