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Hi there, I'm Federico Riva 👋

About Me

I'm currently a master's student in Mathematics for Science and Engineering at TUM with a deep interest in numerical methods, stochastic models, and data-driven analysis.

I completed my Bachelor's in Mathematical Engineering with an elective thesis under the supervision of Professor Marco Verani focused on SVD Factorization, Dynamic Mode Decomposition (DMD), and their application to the SEIRD model for epidemiology.

Current Projects

  • Markov Chain Analysis of Bond Ratings: Using MATLAB and Python to analyze the stochastic evolution of bond ratings.

Skills

  • Languages: Python, MATLAB, LaTeX, R and a bit of C++
  • Key Interests: Numerical methods, Stochastic modeling, Machine learning, Data analysis

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