I am a student about to receive my Bachelor's Degree in Economics from the Universidad Nacional del Oeste, where I have delved into economic analysis, statistics, and mathematics. Currently, I am combining my economics education with technical skills in Python and Machine Learning to explore the world of data science.

From a solid foundation in computer science acquired at Technical Secondary School No. 5 Merlo, where I learned C++, HTML5, CSS, C#, and Excel, to a university career focused on economic analysis, my goal is to integrate these technical and analytical skills to tackle complex challenges and develop innovative solutions in data.

• Database Management Systems: PostgreSQL, SQLite
• Cloud Data Analysis Platform: BigQuery
• Programming Languages: Python
• Python Libraries:
  • Data Analysis, Cleaning, Feature Engineering, and Operations:
    • Pandas, NumPy
  • Machine Learning & Deep Learning:
    • TensorFlow, Scikit-learn, XGBoost, Optuna
  • Statistical Analysis:
    • SciPy, StatsModels
  • Data Visualization:
    • Seaborn, Matplotlib, Plotly
  • Web Scraping:
    • BeautifulSoup
  • Geospatial Analysis:
    • GeoPandas, Folium

In 2023, during my studies, and through the official provision of the university, I was granted permission to participate as a volunteer assistant in an official university research project, which lasted for more than a year. The project focused on international trade relations between Mercosur and China and their economic impact on the Province of Buenos Aires. There, I was able to apply many of my Python skills for the visualization of the collected data.

My goal is to use my skills in programming and data analysis to address problems in the financial field and improve time series algorithms. I seek to learn new tools and incorporate better techniques, and I am excited about the potential of data science and Deep Learning in strategic decision-making.