Data Analyst passionate about transforming data into actionable insights through Business Intelligence, Machine Learning and interactive analytics solutions.
Currently building projects with Power BI, Python, SQL and Streamlit while strengthening my software engineering background through the 42 programming curriculum.
Stack: Python • Scikit-Learn • Streamlit • Predictive Modeling
An end-to-end Machine Learning pipeline designed to predict regional tourism expenditure. Features automated exploratory analysis, regression model tuning, and an interactive web deployment tailored for stakeholders.
🔗 Live Demo: https://nsfacila-tourism-spending-forecasting-app-nsf.streamlit.app
🔗 Repository: https://github.com/nsfacila/Tourism_spending_forecasting
Alongside data analytics, I have a strong programming foundation developed through low-level C projects and algorithmic problem-solving in a project-based learning environment.
This background strengthens my analytical thinking, debugging skills and understanding of how systems work beyond the visualization layer.
Business Intelligence: Power BI, DAX, Data Modelling, ETL
Data Analytics: Python, Pandas, NumPy, SQL
Machine Learning: Scikit-Learn, Predictive Modelling, Streamlit
Development: Git, GitHub, Docker, Linux
- LinkedIn: linkedin.com/in/noelia-sanchez-facila
- Portfolio: nsfacila.github.io/portfolio
- Streamlit App: Tourism Spending App
- Email: nsfacila@hotmail.com
Thanks for visiting my profile. I’m open to new opportunities and collaborations, so feel free to reach out.
