Skip to content
View FedericoLuo-dev's full-sized avatar
1 follower · 2 following

Block or report FedericoLuo-dev

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
FedericoLuo-dev/README.md

Hi there, I'm Federico Luo 👋

🎓 Recent Master's Graduate in Actuarial Science, Risk & Data Analysis from the Catholic University of the Sacred Heart in Milan.

I am passionate about Artificial Intelligence and predictive modeling applied to the insurance sector. I enjoy bridging the gap between advanced statistical methods and real-world actuarial challenges, balancing technological innovation with the strict regulatory and reporting frameworks of Solvency II and IFRS 17.

About Me

  • My core focus lies in quantitative and predictive modeling, specifically leveraging Machine Learning, Deep Learning, and NLP (LLMs) to solve pricing and risk management challenges across the insurance, reinsurance, and Alternative Risk Transfer (ART) markets.
  • For my Master's thesis, I developed an AI-driven framework to convert unstructured claim descriptions into early financial severity estimates using neural networks.
  • I hold a B.S. in Statistics and Information Management, with hands-on experience in data mining, time series analysis, and competitor pricing reverse-engineering.
  • Tech Stack: Python, R, SQL, Excel.
  • Languages: English, Italian, Chinese.

Let's Connect

Pinned Loading

  1. Bayesian-Multivariate-ChangePoint-Analysis Bayesian-Multivariate-ChangePoint-Analysis Public

    R

  2. From-Free-Text-to-Parametric-Settlement-Neural-Networks-for-Early-Claim-Severity-Estimation From-Free-Text-to-Parametric-Settlement-Neural-Networks-for-Early-Claim-Severity-Estimation Public

    Jupyter Notebook

  3. -IFRS-17-Discounting-Curve-Analysis -IFRS-17-Discounting-Curve-Analysis Public

  4. Linear-and-Logistic-Regression-Analysis-on-Loan-Default Linear-and-Logistic-Regression-Analysis-on-Loan-Default Public

    R

  5. Loan-Default-Prediction-using-Machine-Learning-Models Loan-Default-Prediction-using-Machine-Learning-Models Public

    R

  6. XAI-Explainable-Artificial-Intelligence- XAI-Explainable-Artificial-Intelligence- Public

    Jupyter Notebook