Passionate about turning data into real solutions.
I turn complex datasets into clear business insights through exploratory data analysis, predictive modeling, and interactive dashboards. I focus on uncovering patterns that drive strategic decisions and Iām passionate about building data-driven solutions.
I built a comprehensive relational database analysis of a transportation and logistics company using SQLite. This project explores customer behavior, product performance, route efficiency, and warehouse operations through advanced SQL queries and visualizations. Key analyses include identifying top-revenue products, most valuable customers, route distance impact on revenue, warehouse order processing, and operational trends over time.

Technologies: SQL, SQLite, Python, Jupyter Notebook, dbdiagram
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I built an Excel dashboard using data from 50,000 music streaming sessions to explore genres, countries, and platforms, with KPIs for listening time, premium users, and song repetition. It includes interactive slicers and visualizations for comprehensive insights.

Technologies: Microsoft Excel, Power Query, Pivot Tables, Slicers, Git, GitHub, Kaggle
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I analyzed a student dataset to discover the factors that most influence academic performance. I used exploratory data analysis techniques and machine learning models to predict student outcomes from educational data.

Technologies: Python, Pandas, Scikit-learn, Matplotlib, Kaggle
š View full notebook on Kaggle
I developed a tool that automates data collection from the UPTC Editorial using web scraping techniques. The system extracts relevant information from books and publications, stores the data in a NoSQL database, and provides a user-friendly search interface.

Technologies: Python, BeautifulSoup, MongoDB, Gradio, LangChain
š View repository on GitHub