I'm a Data Analyst with a background in Economics and a MSc in Data Science.
I enjoy working with data to uncover patterns, generate insights and support data-driven decision making.
My main interests include:
- Data analysis and visualization
- Statistical modelling and machine learning
- Business and sports analytics
I mainly work with Python and SQL to explore datasets, build analytical models and communicate results through clear visualizations.
Alongside my academic projects, I also run a football analytics Instagram page (@romperelalinea) with 1.2k+ followers, where I publish data-driven visualizations and insights based on raw football datasets.
This often involves:
- collecting data through web scraping
- performing data cleaning and preprocessing
- conducting exploratory data analysis
- building data visualizations and analytical insights
📊 My goal is to transform raw data into meaningful insights that support better decision making.
- Python (pandas, numpy, scikit-learn)
- R
- SQL
- Exploratory Data Analysis (EDA)
- Statistical Modelling
- Feature Engineering
- Machine Learning
- Tableau
- Matplotlib
- Seaborn
- Streamlit
- Git
- Jupyter Notebook
- VS Code
- MySQL
- MongoDB
On this profile you'll find projects focused on:
- Data analysis and statistical modelling
- Machine learning applications
- Data visualization and storytelling
- Sports analytics and performance analysis
- End-to-end data workflows (data collection, cleaning, analysis and visualization)
Many projects follow a structured analytical workflow:
- Data collection
- Data cleaning and preprocessing
- Exploratory data analysis
- Statistical modelling or machine learning
- Visualization and insights
- LinkedIn: https://www.linkedin.com/in/alfonso-marino-a5411b2b8/
- GitHub: https://github.com/marinoalfonso
Always happy to connect with people interested in data, analytics and data-driven decision making.