Lucas Gouveia Bontempo

Data & AI · Global

Data artist

Lucas Bontempo

Senior Data Analyst | Analytics, Machine Learning & AI

I build data and AI solutions that turn complex problems into measurable outcomes.

View selected work

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Currently developing and deploying machine learning, mathematical optimization, and AI agent solutions for the Municipal Health Department.

Senior Data Analyst at the Belo Horizonte City Hall, responsible for managing and presenting Big Data projects at the state level within SUS, Brazil's public healthcare system.

In 2026, achieved 90%+ ROC-AUC and 85%+ PR-AUC for SUS no-show prediction using Gradient Boosted Trees (GBT), Azure, and PySpark.

Published in June 2025 a dashboard on the Transparency Portal of the Belo Horizonte City Hall, allowing citizens to access information about their position in the SUS waiting list, already with more than 50,000 accesses:
https://prefeitura.pbh.gov.br/saude/regulacao-em-saude

Published and presented a scientific article in January 2024 at the International Congress of Mechanical Engineering on temperature prediction, using a self-developed algorithm based on machine learning techniques in MATLAB.

Publications in COBEM, CREEM, and EAFIT conferences and journals. R&D experience in Computational Mechanics, with a focus on Numerical Analysis applied to manufacturing processes. Previous internships at Vale S.A. and the Engineering Laboratory at Universidad EAFIT in Medellín, Colombia.

Currently developing and deploying machine learning, mathematical optimization, and AI agent solutions for the Municipal Health Department.

Senior Data Analyst at the Belo Horizonte City Hall, responsible for managing and presenting Big Data projects at the state level within SUS, Brazil's public healthcare system.

In 2026, achieved 90%+ ROC-AUC and 85%+ PR-AUC for SUS no-show prediction using Gradient Boosted Trees (GBT), Azure, and PySpark.

Published in June 2025 a dashboard on the Transparency Portal of the Belo Horizonte City Hall, allowing citizens to access information about their position in the SUS waiting list, already with more than 50,000 accesses:
https://prefeitura.pbh.gov.br/saude/regulacao-em-saude

Published and presented a scientific article in January 2024 at the International Congress of Mechanical Engineering on temperature prediction, using a self-developed algorithm based on machine learning techniques in MATLAB.

Publications in COBEM, CREEM, and EAFIT conferences and journals. R&D experience in Computational Mechanics, with a focus on Numerical Analysis applied to manufacturing processes. Previous internships at Vale S.A. and the Engineering Laboratory at Universidad EAFIT in Medellín, Colombia.

Currently developing and deploying machine learning, mathematical optimization, and AI agent solutions for the Municipal Health Department.

Senior Data Analyst at the Belo Horizonte City Hall, responsible for managing and presenting Big Data projects at the state level within SUS, Brazil's public healthcare system.

In 2026, achieved 90%+ ROC-AUC and 85%+ PR-AUC for SUS no-show prediction using Gradient Boosted Trees (GBT), Azure, and PySpark.

Published in June 2025 a dashboard on the Transparency Portal of the Belo Horizonte City Hall, allowing citizens to access information about their position in the SUS waiting list, already with more than 50,000 accesses:
https://prefeitura.pbh.gov.br/saude/regulacao-em-saude

Published and presented a scientific article in January 2024 at the International Congress of Mechanical Engineering on temperature prediction, using a self-developed algorithm based on machine learning techniques in MATLAB.

Publications in COBEM, CREEM, and EAFIT conferences and journals. R&D experience in Computational Mechanics, with a focus on Numerical Analysis applied to manufacturing processes. Previous internships at Vale S.A. and the Engineering Laboratory at Universidad EAFIT in Medellín, Colombia.

Selected work

Technical depth, shaped around the decision.

Selected case studies are framed around the problem, data, approach, solution, and impact.

01

Healthcare Appointment Optimization

A problem-led ML and optimization initiative designed around appointments, operational constraints, and the path from prepared data to better decisions.

Machine Learning · Optimization · Python · Spark

01

Healthcare Appointment Optimization

A problem-led ML and optimization initiative designed around appointments, operational constraints, and the path from prepared data to better decisions.

Machine Learning · Optimization · Python · Spark

02

Public Health Analytics Platform

An analytics foundation for turning complex public health data into a reliable, decision-ready platform—built from data modeling through reporting.

Analytics Engineering · SQL · Data Warehouse · Power BI

02

Public Health Analytics Platform

An analytics foundation for turning complex public health data into a reliable, decision-ready platform—built from data modeling through reporting.

Analytics Engineering · SQL · Data Warehouse · Power BI

03

AI / LLM Applications

Applied AI concepts explored through useful, grounded workflows: finding the right context, designing retrieval, and shaping systems around real questions.

Artificial Intelligence · LLMs · RAG · AI Agents

03

AI / LLM Applications

Applied AI concepts explored through useful, grounded workflows: finding the right context, designing retrieval, and shaping systems around real questions.

Artificial Intelligence · LLMs · RAG · AI Agents

About

A systems thinker who stays close to the question.

With 6+ years working across analytics and data, I bring a practical view to machine learning and AI: start with the business problem, understand the data, and build what can hold up in the real world.

My work moves comfortably between analytical thinking, data engineering, and model development—connecting the technical work to the decisions it is meant to improve.

Experience

Work defined by ownership—not a list of tools.

Analytics

Problem framing & analytical foundations

Clarifying complex questions, shaping data into decision-ready views, and treating analysis as a product that needs to be trusted and used.

Analytics

Problem framing & analytical foundations

Clarifying complex questions, shaping data into decision-ready views, and treating analysis as a product that needs to be trusted and used.

Engineering

Data systems that connect the work

Bridging data preparation, pipelines, modeling, and platform thinking so downstream insight and ML work can be more reliable.

Engineering

Data systems that connect the work

Bridging data preparation, pipelines, modeling, and platform thinking so downstream insight and ML work can be more reliable.

ML / AI

Applied machine learning and AI exploration

Building from sound data foundations toward predictive models and AI applications, with an emphasis on useful, real-world solutions.

ML / AI

Applied machine learning and AI exploration

Building from sound data foundations toward predictive models and AI applications, with an emphasis on useful, real-world solutions.

Expertise

Analytics

SQL · Power BI · Data Modeling · Data Storytelling

Data Engineering

ETL · Data Warehousing · Spark · Kafka · Data Pipelines

Machine Learning

Predictive Modeling · Feature Engineering · Gradient Boosting · Scikit-learn · PySpark ML

Artificial Intelligence

LLMs · RAG · Embeddings · AI Agents

Cloud & Data Platforms

Azure · Microsoft Fabric · PostgreSQL · SQL Server · Oracle

Contact

Looking for someone who can take the data work seriously?

I’m open to conversations with recruiters, hiring managers, and collaborators working on meaningful data, machine learning, and AI challenges.

LinkedIn

GitHub

Email

Tools in practice

Lucas Bontempo · Data, Machine Learning & AI

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