About Me
I’m a data solutions specialist based in Ireland, with solid experience in Business Intelligence and data engineering. I build interactive dashboards, optimize SQL workflows, and develop Python-based tools to modernize data systems. I also apply AI techniques like clustering to uncover trends and customer insights using tools like Power BI, scikit-learn, and Pandas.
Skills
Education
Bachelor's in Computer Engineering
Federal University of Alagoas – Brazil
Aug 2018 – Dec 2023
Focused on applied computer engineering with hands-on projects and software development. Strong foundations in data, programming, and systems supported my transition into business intelligence and data science roles.
Projects
Capstone Project: Development of a Model for Facial Mask Detection and Its Adaptation to an Embedded Device
Federal University of Alagoas – Brazil
Jan 2023 – Dec 2023
During my Capstone Project, I developed a machine learning model for facial mask detection, aiming to assist in safety and health protocols during the COVID-19 pandemic. The model was then adapted to run on an embedded device, optimizing it for real-time detection in constrained environments.
Professional Experience
Data Scientist
Sebrae Alagoas
2024 – 2025Developed data-driven business solutions using Power BI, transforming complex data into actionable insights. Applied AI techniques such as clustering using scikit-learn and Pandas to identify trends and customer segments.
Data Analyst
Public Prosecutor’s Office of Alagoas
2023 – 2024Developed dashboards using QlikSense for legal and administrative data. Conducted exploratory data analysis with SQL and Qlik Script, supporting decision-making across departments.
Web Developer
Nortan
2023Developed web applications using Angular. Built and improved UI, integrated APIs, and participated in performance optimization and deployment.
Software Developer
UFAL Lighting Research Group
2022 – 2023Migrated software from MATLAB to Python, enhancing algorithms with NumPy, SciPy, and Pandas. Focused on code optimization and validation of scientific accuracy.
Technology and Data Support Intern
Government of the State of Alagoas
2021 – 2022Used Excel to clean and analyze internal data, automated spreadsheets, and created reports to support the digital transformation of administrative routines.
Portfolio
Premier League Through the Seasons
This interactive dashboard offers a historical overview of the English Premier League, with data spanning across multiple seasons. Users can explore team performance, match results, and key game statistics over time.
Designed to support performance analysis and historical comparison, this dashboard provides valuable insights into trends and patterns that define the Premier League's legacy.
Open in Power BI
1. Home Page
2. Season Overview
A season-by-season breakdown of matches, goals, and home win percentages.
3. Team Statistics
Detailed team-level metrics such as total wins, draws, losses, and points.
4. League Metrics
Aggregated statistics on attendance, shots, goals, cards, and referee activity.
Understanding Ireland
This interactive dashboard provides a snapshot of Ireland’s key economic and demographic indicators for 2022, including GDP per capita , population size, population density, and overall GDP.
Designed to support economic and demographic analysis, this dashboard offers valuable insights into the country's population and economic performance, helping users understand Ireland's position on both fronts.
Open in Power BI
1. Home Page
2. Infographic
This infographic page provides a clear and easy-to-understand overview of Ireland’s key economic and demographic data, with simple visuals for quick insights.
Customer Segmentation & Behavior Prediction
This interactive dashboard provides a deep dive into customer behavior and segmentation, supporting strategic marketing and retention initiatives. Built with Power BI and Python, the solution segments customers into behavioral clusters and visualizes key demographic, geographic, and spending patterns.
By identifying high-risk customers and tracking satisfaction, spending, and loyalty trends, this dashboard enables proactive decision-making to reduce churn and enhance engagement across different customer profiles.
Open in Power BI
1. Home Page
2. Customers Overview
General overview of customer base including total users, average spend, satisfaction score, churn rate, and temporal spending trends.
3. Demographic Overview
Detailed breakdown of customer distribution by gender, age, marital status, education level, and profession.
4. Clustering Analysis
Customer segmentation using clustering algorithms, identifying behavioral groups and highlighting at-risk profiles for targeted action.
