ALEXANDRE PAIVASystems · Data · Technology · Engineering
Engineering → Data → Decisions

Building decisions with data.

Data engineering and analytics. I turn raw, complex and disorganized data into clear, measurable structures ready to support decisions.

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The animation continuously assembles and disassembles a demonstration chart showing a 38% efficiency gain, 2.4 million records processed and 97.2% accuracy.

Featured project

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Applied data engineering

ObraIndex

Understand prices before deciding.

A data project investigating construction material costs and providing context for purchasing decisions.

Explore ObraIndex Independent project · MVP in development
Reading pricesDemonstration · no real data

Where should we investigate?

Illustrative example of price changes A fictional series rises and then falls. The highlighted change could warrant investigation; it is not a finding from the ObraIndex research. Change to investigate
From insight to decision

A change attracts attention. Context helps explain why.

  • 01

    Track trends

    How does a material's price change over time?

  • 02

    Compare regions

    Where are the differences that deserve attention?

  • 03

    Investigate changes

    Which fluctuations need a closer look?

Already built Traceable public procurement data collection.

Research findings in development.

Areas of expertise

Intelligence in data. Strength in engineering.

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01

Data & Analytics

Sources, metrics and visualizations organized for clear, sustainable decisions.

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02

Civil Engineering

Design, construction, inspections and consulting with a structured approach and professional accountability.

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03

Occupational Safety

Risk management, compliance and training for safer operations.

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04

Real Estate

Technical insight to support valuations, negotiations and property decisions.

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About

Engineering, technology and real-world context.

I'm Alexandre Paiva. I connect technical reasoning and data to make complex problems clearer and more actionable.

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How I work

From context to final guidance, without unnecessary steps.

  1. 01

    Understand

    Context and the core question.

  2. 02

    Structure

    Sources, evidence and criteria.

  3. 03

    Build

    Actionable analysis or diagnosis.

  4. 04

    Guide

    Findings and next steps.

Next step

Have a problem that needs structure?

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