Sara Capozio
Hi, welcome to my portfolio!
Portfolio
Contact Information
Technical Skills: R, SQL, Python, SAS, SPSS
📎 Education
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Master’s Degree in Statistical Sciences University of Milano-Bicocca (Oct 2022 - Jan 2025) -
Erasmus+ Exchange Program Université Paris Dauphine (Jan 2024 - June 2024) -
Bachelor’s Degree in Statistics and Information Management University of Milano-Bicocca (Oct 2019 - Sept 2022)
📎 Work Experience
Research Collaborator @ University of Milano-Bicocca (Feb 2024 - May 2024)
- Bayesian Models for Multiple Observations of Weighted Graphs (Introduction of a new generalized distribution of the CER model)
- Design and implementation of Markov Chain Monte Carlo (MCMC) algorithms for the application of these models, using R programming language.
📎 Projects
📄 Contributor to the scientific publication: “Analysis and clinical determinants of post-COVID-19 syndrome in the Lombardy region: evidence from a longitudinal cohort study”
📌 Tags: Censored Data | PCA | Heckit Model
📄 “A Generalization of the Centered Erdős-Rényi Distribution for Network Data Analysis” Bayesian Models for Multiple Observations of Weighted Graphs Applied to Neuroscience
📌 Tags: Hierarchical Bayesian Model | Neuroscience | Weighted graphs
📄 “Italian Tourism Time-Series Analysis”
Analysis of the impact of COVID-19 on Italian tourism, segmented by regional areas.
📌 Tags: Time Series | SARIMA Models | RegARIMA
📄 “Bayesian Non Parametric Methods for Spike Detection in Calcium Imaging Data(paper review)”
Review of the work proposed by Laura D’Angelo, Antonio Canale, Zhaoxia Yu, and Michele Guindani, which presents the application of nested Bayesian nonparametric models to measure neuronal response to different external stimuli in animals through the analysis of calcium signals.
📌 Tags: Hierarchical Bayesian Non-Parametric Models | Neuroscience | Sensitivity analysis
📄 “Clustering Analysis Using the Pitman-Yor Process”
Theoretical Insights into the Pitman-Yor Process and Its Application as a Clustering Method on Real-World Data.
📌 Tags: Dirichlet Process | Pitman-Yor Process | Mixture Models | Location-scale Pitman-Yor Model
📄 “Taxi Tip Prediction”
Prediction Taxi Tip using Linear Parametric and NonParametric models.
📌 Tags: Robust Regression | Ridge Model | Lasso Model | Elastic Net Model | GAM
📄 “Machine Learning for Astrophysics”
Classification of stars and galaxys with Machine Learning models.
📌 Tags: Naive Bayes | Nearest Neighbor | Tree | Random Forest | Neural Network | Gradient Boosting | Neural Networks