I am Riccardo Dal Cero, an Italian passionate about economics, data analysis, and machine learning.

Currently working as a master trainee on multiple research projects at the European Central Bank (ECB), I specialize in macroeconomics, financial markets, and AI-based economic analysis.

• 🎓 Master’s in Economics from University of Catholic Sacred Heart, Milan (GPA: 4.0)
• 🎓 Bachelor’s in Economics from University of Verona (GPA: 3.7)
• 🌐 LinkedIn
• 👨‍💻 GitHub Projects

• Master of Science in Economics from University of Catholic Sacred Heart, Milan

  • Relevant Courses: Econometrics, Statistical Modelling, Advanced Macroeconomics
  • Thesis: Challenging the Conventional View of Financial Frictions on the Cleansing Effect of Recession using Agent-Based Models and Python simulations
  • Research focused on how asymmetric information influences the exit of inefficient firms during downturns.
  • Link to Master Thesis: Full Thesis | Shortened Version

• Bachelor of Economics from University of Verona

  • Thesis: Insider Trading and Market Efficiency — Focused on financial markets, questioning the view that insider trading solely has negative effects.

• 🔬 Trainee at ECB - Project Repository

  • Contributing to macroeconomic models and uncertainty indices using Natural Language Processing (NLP) on earnings call transcripts.
  • Enhanced coding skills in Python, MATLAB, R, and Stata by building and simulating complex economic models.
  • Main Projects:
    • Developed a New Keynesian DSGE model for Euro Area Supply Chain Dynamics using input-output tables.
    • Created a firm-specific Uncertainty Risk Index using earnings call transcripts, measuring its influence on corporate investments.

• 👨‍💼 Research Assistant at Catholic University of Milan - AI Text Analysis Project

  • Built AI models using BERT for macroeconomic uncertainty.
  • Conducted big data analysis and applied SVAR regression.

• 🏛️ Research Experience at European Central Bank

  • Worked on a two-country DSGE model to study international trade and supply chain disruptions.
  • Employed advanced econometrics techniques for real-time policy analysis.

• AI Text Analysis for Macroeconomic Uncertainty - GitHub Link

  • Developed NLP models using BERT to assess the economic uncertainty in White House speeches.

• Supply Chain Dynamics in the Euro Area

  • Developed a two-country DSGE model to analyze the economic effects of international trade and supply chain disruptions.

• Languages: Python (Advanced), R (Advanced), Stata (Advanced), MATLAB (Advanced)
• Data Analysis: Pandas, NumPy, Scipy, Matplotlib
• Machine Learning: TensorFlow, Scikit-learn
• Operating Systems: Windows, macOS, Linux
• Version Control: Git, GitHub

• Python Example: AI Analysis - GitHub and Agent-Based Reinforcement Learning

• R Example: Dataset Analysis - GitHub

• Stata Example: Labor Stata Paper - GitHub

• MATLAB Example: MATLAB Code - GitHub

• 🧠 Knowledge seeker: Passionate about constantly learning new things.
• 🤖 Interested in AI and its economic applications.
• 🚵‍♂️ Love cycling and mountain biking.
• 🏊 Passionate swimmer.
• 🎥 Avid fan of movies and TV series.