Luis Vinicius Lauriano de França

Research and Data Engineer | MSc Student

My research focuses on developing fairness strategies for supervised machine learning models. I explore how ethical principles and social justice can be integrated into the evaluation and deployment of machine learning models. My work aims to identify, measure, and mitigate biases to promote more equitable outcomes. I am also interested in developing methods to detect discrimination and assess fairness in facial recognition systems. My research interests include ethics, justice, and the social impact of machine learning and artificial intelligence.

Experience

Fundação 1Bi - Data Engineer

Feb 2023 - Present

Responsible for building and modernizing data architecture and pipelines for Fundação 1Bi's products, focusing on data solutions for educational platforms. Using tools like Airflow, DBT, Metabase, Airbyte, AWS (Athena, S3, Glue, RDS, DynamoDB) to compose a modern data stack architecture.

Data Rudder - Junior Data Scientist

Aug 2021 - Jan 2023

Worked on supervised and unsupervised machine learning projects for clients in retail, finance, credit, health, and fraud sectors. Built predictive models (churn, risk scoring, fraud, real estate pricing) and results presentation dashboards.

Federal University of Pernambuco - PIBIC Researcher

Sep 2020 - Oct 2021

Research on project management practices in information consulting companies, evaluating management maturity based on the PMMM model.

UFPE - Academic Monitor

Programming and Operating Systems (May - Aug 2021). Usability and Information Architecture (Feb - May 2022). Supported professors in didactic activities and evaluations.

National Treasury Attorney General's Office - IT Intern (Programmer)

Sep 2020 - Aug 2021

Automation of repetitive processes and development of internal systems using Python and JavaScript. Creation of PRFN5's institutional website.

Publications

An innovative model to mitigate the impact of oil and steel price dynamics on oil & gas sector projects

21st Brazilian Meeting on Artificial Intelligence and Computational Intelligence (ENIAC 2024), Belém/PA

Projects

FolIA

Projeto autoral de um agente de inteligência artificial desenvolvido para oferecer suporte personalizado a foliões durante o Carnaval de Recife e Olinda. O folIA auxilia os usuários na criação de roteiros otimizados com base em seus interesses (como blocos gratuitos, camarotes, polos infantis), local de origem e quantidade de blocos desejada.O projeto foi desenvolvido com foco em acessibilidade, organização e segurança, promovendo uma experiência de Carnaval mais tranquila, gratuita e personalizada.

World Cup 2022 Outcome Prediction

Machine learning project to predict outcomes of 2022 World Cup matches using historical data, built for study and exploration of model performance in tournament-style events.

League of Legends Match Prediction

End-to-end ML project predicting match results based on the blue side advantage. Included data collection, preprocessing, dimensionality reduction, and models using XGBoost and logistic regression via PyCaret.

Covid-19 Early Case Analysis

Data analysis project tracking global Covid-19 trends from January to March 2020, identifying early warning signs of rising death rates in countries like the US before the peak of the outbreak.

Talks

Data Balancing with Python to Mitigate Sampling and Algorithmic Bias

Python Nordeste 2024

Building a Machine Learning Model to Predict Possible World Cup 2022 Outcomes

AfroPython 2023 | TDC Connections 2023 | GitHub Global Latinx Tech Conference 2022

The First Three Months of 2020 – Python Analysis of the Initial Impact of COVID-19

Python Nordeste 2022

What Happens When You Combine Spotify, Python, and Data Science

Python Brasil 2020

Achievements in Innovation and Technology Competitions

2nd Place - Hacker Cidadão Hackathon

2025

Winner (2nd place) with the project Copiba, organized by Emprel and Recife City Hall

1st Place - Hello Future Hackathon

2024

International hackathon organized by Hedera and AngelHack

2nd Place - Campus Party Nordeste Hackathon

2024

Winner (2nd place) with the project Jaiminho for the Correios Challenge

Selected Project - Campus Mobile (Smart Cities category)

2024

Project Recria selected by Claro Brasil

1st Place - Hacker Cidadão Hackathon

2023

Winner (1st place) with the project Recria, organized by Emprel and Recife City Hall

3rd Place - Campus Party Goiás Hackathon

2023

Winner (3rd place) with the project EduWatch

1st Place - Mover Program

2019

Winner (1st place) in the UFPE Information Technology Center Program