Decision Analytics · BI Engineering · Commercial Intelligence

I turn data into analytical systems for decision-making.

Over a decade translating business questions into reliable models, dashboards and pipelines — from the services and energy industry to the public sector.

Commercial & Decision Analytics · BI Engineering · Data Strategy
See the work
10+ years in data & BI
7 organizations
30+ analytics projects

Open to opportunities · Remote · Hybrid

Portuguese (native) · English (fluent)

01

Capabilities at a glance

Tools and methods I use in depth.

Analytical methods

  • RFV segmentation · LTV
  • Regression · z-score · trend
  • Supervised Machine Learning
  • Geospatial analysis (GIS)

BI & Visualization

  • Power BI
  • Tableau
  • Data storytelling
  • Executive dashboard design

Data & ETL

  • Dimensional modeling · star & snowflake
  • Migration & integration
  • Reproducible pipelines
  • Alteryx · Analytic Apps

Language & Query

  • SQL · database modeling
  • Python · pandas, scikit-learn, plotly
  • DAX & M
  • Triggers · stored procedures
02

Selected cases

Business problem, role and outcome — with the data source always declared.

Every asset uses public, synthetic or authorized and sanitized versions — no client data, real figures or internal identifiers are exposed.

Corporate Education · Industry System Synthetic data

Prioritizing the customer base by value and recency

Sales leadership had no single criterion for prioritizing clients. I built an RFV segmentation of 2,500+ buyers, with geocoding — adopted by management, the intelligence team and leadership.

Decision-maker
Sales management and leadership
Method
RFV segmentation · LTV · geocoding
Outcome
Prioritization criterion adopted in operations
Commercial Analytics
Technology Institute Synthetic data

Commercial intelligence platform in production

I designed and built, from scratch, the prospecting indicators the team lacked — on a staging-and-views architecture, now in production and used by sales and leadership.

Decision-maker
Internal sales and leadership
Method
Modeling · 10 views · 9 queries · QA
Outcome
In production; indicators built from scratch
BI Engineering
Energy Industry Generic architecture

Steam turbine operational analytics

Engineers needed to analyze turbine sensors without code. I built the database from scratch (MS SQL), 1.6M+ data points and Alteryx Analytic Apps — including the Stodola Cone thermodynamic calculation.

Decision-maker
Turbomachinery engineering
Method
MS SQL · Alteryx Apps · Power BI · ML
Outcome
Apps in production (Alteryx Gallery)
Data Science

Selected archive

Open data

School transport network optimization

~779 routes, 13 regions, a cost-per-km model and anomaly detection presented to senior management.

Public Sector · Scale
Synthetic data

Homologated multidimensional analytical model

Star schema with five dimensions, two fact tables and a DAX layer — homologated v1.0.

Technology Institute
Synthetic data

Competitive market research

Benchmarking of 27 proposals and a comparative catalog — method and structure, with fictitious market and prices.

Technology Institute
Synthetic data

Product performance scoring

12k+ rows, 346 products, z-score and percentiles for commercial planning.

Corporate Education · Industry System
Synthetic data

Targets and sales tracking dashboard

A dashboard in recurring use on the wall screen and in meetings — target vs. actual by unit and team.

Corporate Education · Industry System
Synthetic data

Proposal pipeline and funnel monitoring

26k+ records consolidated into a searchable dashboard of issued, accepted and in-negotiation proposals.

Corporate Education · Industry System
Open data

100% online enrollment at state scale

Process digital transformation: from paper to digital across the entire state school network.

Public Sector · Education
Open data

Data-driven pandemic response (Google for Education)

Crisis leadership and data engineering at state scale during school closures.

Public Sector · Education
Open data

Geospatial investigation of seismic activity

Crossing public seismological data (LABSIS/UFRN) with geospatial layers for Civil Defense.

Public Sector · Civil Defense
Synthetic data

Statistical sales-funnel trends

Linear regression and z-score standardization to measure trend direction and intensity per period.

Corporate Education · Industry System
Synthetic data

Reactivation potential of inactive clients

A potential rule by LTV and recurrence to prioritize reactivation in the planning cycle.

Corporate Education · Industry System
Open data

In-housing of IT contracts

Management and hands-on execution that decentralized internet and cut recurring state IT cost.

Public Sector · Education

Partial archive. Additional cases and technical detail on request.

03

Path

The context where the work happened.

  1. 2025 — present

    Data Specialist · Decision Analytics

    SENAI CIMATEC — Technology & innovation institute

  2. 2024 — 2025

    Data Analyst · Commercial Intelligence

    Sistema FIEA — SESI / SENAI Alagoas

  3. 2023 — 2025

    Data Researcher · Inova Talentos Fellowship

    Siemens Energy — Energy industry (IEL/FIPT)

  4. 2023 — 2024

    Data & BI Analyst

    SEMOPS — Arapiraca Public Order

  5. 2021 — 2022

    IT Manager · Data & BI

    GTInfo — City of Arapiraca

  6. 2016 — 2020

    IT Manager · Data & BI

    SEDUC — Alagoas Department of Education

04

Background & Stack

Education

  • Postgraduate · Data Science PUC-RS
  • Technology degree · Computer Networks Universidade Cruzeiro do Sul
  • English · professional fluency Cultura Inglesa · System 2000

Tools

SQL Python C# PHP Power BI DAX Power Query (M) Alteryx Tableau MS SQL Server QlikView GIS pandas scikit-learn scipy plotly
05

Let's turn a business question into a decision.

E-mail [email protected] LinkedIn /in/thiago-caminha