About Me
As a recent Informatics Engineering graduate, I have a strong foundation in programming and logical problem-solving.
My passion for data is backed by proven, hands-on experience in Python and SQL, demonstrated through many projects. My expertise is validated by the Data Scientist Professional and Data Analyst Professional certifications from DataCamp.
I enjoy turning raw data into meaningful stories that support decision-making, and I'm always eager to learn more. My portfolio showcases my ability to solve business problems and deliver data-driven solutions.
I'm actively seeking an internship or a junior role where I can grow as a Data Scientist, Data Analyst, Data Engineer , or any other data related role.
Education
Bachelor Degree in Informatic Engineering at ESTG-IPVC (Instituto Politécnico de Viana do Castelo)
Certifications
Soft Skills
- Critical Thinking / Problem Solving
- Analytical Mindset / Data-Driven Thinking
- Attention to Detail
- Curiosity & Eagerness to Learn / Learning Agility
- Ability to Present Results / Insights
- Persistence / Self-Discipline
Hard Skills
- Programming & Libraries: Python (Data Analytics & ML), SQL, Pandas, NumPy
- Data Analysis & Modeling: EDA, Data Cleaning / Preprocessing, Feature Engineering & Data Encoding
- Machine Learning: Supervised ML, Model Evaluation & Validation (classification metrics, cross-validation)
- Deployment & CI/CD: Cloud Deployment (AWS), Web/App Deployment (Render), CI/CD (GitHub Actions), Automated Testing (pytest)
- Visualization & Insights: Data Visualization (matplotlib, seaborn), Statistical Reasoning / Data Insight Extraction, Translating Data into Business Recommendations
- Version Control: Git
Main Projects
Telco Customer Churn Analysis
Comprehensive data-driven analysis of customer churn for a telecom company. Built with Python, Pandas, and scikit-learn to preprocess data, engineer features, build predictive models, and evaluate churn-risk factors. The project is deployed as a web application using Render, with AWS Cognito for authentication, AWS WAF for security, and AWS S3 for storing machine learning models.
Amazon Product Reviews Sentiment Analysis
Interactive Streamlit dashboard using neural networks to analyze Amazon product reviews, uncovering sentiments and underlying reasons. Explore insights by product, category, and time trends.
Other Projects
DataCamp Competition: Cleaning Data and The Skies
Participated in a DataCamp competition to clean and preprocess real-world messy data, then analyze it to extract insights and answer key business questions.
Strategic HR Analytics on Employee Data
SQL project that delivers an in-depth diagnostic analysis of historical employee data to provide actionable intelligence on workforce stability, compensation equity, and diversity.
S&P 500 Stocks Python Analysis
Analysis of the distribution of S&P 500 companies across U.S. states and analyze the concentration of dominant sectors within those regions.
Social Networks
