I hold a Bachelor’s Degree in Economics from the Universidad Nacional del Oeste, where I developed strong competencies in economic analysis, quantitative methods, statistics, and applied econometrics. Throughout my academic and professional trajectory, I have integrated this analytical foundation with technical expertise in Python, Machine Learning, and Data Engineering, focusing on data-driven problem solving across economic, business, and financial domains.
My formation combines economics with solid technical training acquired at Technical Secondary School No. 5 Merlo, where I studied computer science fundamentals, including C++, HTML5, CSS, and spreadsheet modeling. Progressively, I expanded these skills into advanced data manipulation, predictive modeling, and automation using Python and modern data technologies.
- Databases: PostgreSQL, MySQL, SQLite
- Cloud Platforms: BigQuery
- Programming Languages: Python
- Python Libraries for Data and ML:
- Data Analysis & Processing: Pandas, Polars, NumPy
- Machine Learning & Optimization: Scikit-learn, XGBoost, LightGBM, Optuna, TensorFlow
- Statistical Analysis: SciPy, StatsModels
- Visualization: Matplotlib, Seaborn, Plotly
- Automation & Web Scraping: Selenium, BeautifulSoup, Scrapy
- Geospatial Analysis: GeoPandas, Folium
In 2023, through an official university provision, I joined a research project as a volunteer assistant. The study examined economic and commercial relations between Mercosur and China and their implications for the Province of Buenos Aires. My contributions included data extraction, processing, and the development of custom statistical visualizations in Python to support the economic analysis conducted by the research team.
My professional focus is on applying quantitative methods, machine learning, and data engineering practices to solve complex problems in the economic, financial, and business domains. I aim to deepen my expertise in time-series modeling, forecasting, and scalable data solutions, and to contribute to analytical projects where rigorous methodology and advanced data capabilities drive strategic decision-making.