🎓 I'm an undergraduate student in Data Science at the Federal University of Ceará (UFC), currently working as a Data Intelligence Intern at Arco Educação. My focus is on leveraging mathematical modeling and programming to solve complex problems, while deepening my expertise in Optimization Algorithms, Machine Learning, and Statistical Inference.
💡 With a solid foundation in Python and SQL, I have experience handling data pipelines and building predictive models to transform raw data into strategic insights. I'm passionate about the intersection of data-driven decision-making and efficient algorithm design, always looking for opportunities to apply quantitative methods to real-world challenges.
🚀 Beyond my internship, I'm actively involved in scientific research at the Laboratory of Numerical Simulations, where I apply numerical methods to physics problems and work with embedded systems like ESP32 and Arduino.
🌌 From raw datasets to actionable insights, I love connecting ideas and discovering patterns that tell a story. I'm always open to exciting projects and collaborations that mix curiosity, data, and creativity!
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Bachelor of Science in Data Science
Universidade Federal do Ceará (UFC) | Expected Graduation: 2027
Focus: Machine Learning, Optimization Algorithms, Statistical Inference, and Data Analytics -
Relevant Coursework
Python Programming, Machine Learning, AI, Database Systems, Optimization, Statistical Analysis, Big Data Technologies
Data Intelligence Intern
Arco Educação | Sep 2025 - Present | Fortaleza, CE (Hybrid)
- Working with data pipelines and business intelligence tools
- Developing analytical solutions using Python, SQL, and spreadsheet automation
- Supporting data-driven decision-making processes through statistical analysis and visualization
Scientific Initiation Scholarship Holder
Laboratory of Numerical Simulations (LSN) - UFC | Jan 2024 - Present
- Applying numerical methods to physics problems
- Developing embedded systems solutions with ESP32 and Arduino
- Conducting data analysis and implementing efficient data structures
Main Skills:
- Programming & Databases: Python (Pandas, NumPy, Matplotlib, Plotly, Scikit-Learn, Gurobi) and SQL
- Modeling: Machine Learning, Optimization Algorithms, and Statistical Analysis
- Business Intelligence: Power BI, Metabase, and Excel
Tools & Technologies: Streamlit, Jupyter Notebooks, PostgreSQL, MySQL, Git, VS Code
GitHub Repo (Nov 2025 - Present)
- Complete Machine Learning pipeline to predict electoral success in Brazilian elections
- Developed in collaboration with Artur Garcia at UFC
- Features: Supervised classification models, temporal validation techniques, feature engineering
- Technologies: Python, Machine Learning, Scikit-Learn, Pandas, Data Visualization
- Python implementation of the classic game with real-world dataset integration
- Features: Player profiles, dynamic difficulty, high-score tracking
- Technologies: Python, JSON, Modular OOP Design
- 📧 Email: paschoal.artur@alu.ufc.br
- 💼 LinkedIn: linkedin.com/in/paschoal-artur