I am a physicist with a strong analytical background (MSc Physics – Cosmology & Bayesian Statistics at IFGW - Unicamp, Brazil). I have 6+ years of experience with Python for data analysis and modeling, specializing in translating complex data into actionable insights through statistical inference, modelling and visualization.
- Bayesian Inference & Cosmology
- Statistical Modeling & Data Pipelines
- Uncertainty Quantification & Bias Diagnosis
- Technical Storytelling & Data Visualization
- Data Science
- Data Analysis
- Generative AI (GenIA) & Large Language Models (LLMs)
- Machine Learning
- Team Liquid Tournament Dashboard - Web scraping pipeline and interactive Streamlit dashboard for esports tournament data using BeautifulSoup, Pandas, and Plotly.
- Airbnb Market & Risk Analytics Dashboard - This repository contains an end-to-end data science pipeline focused on data cleaning, exploratory analysis, and building predictive models to forecast both listing prices and user ratings across global markets.
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An interactive application developed to analyze Airbnb rental data, offering insights into pricing, availability, and strategic locations. |
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