CV
Education
- Ph.D in Statistics, KAUST, 2026 (expected)
- M.S. in Statistics, USP-UfScar, 2021
- B.S. in Applied Math, FURG, 2016
Professional experience
- Transunion (Jan 20 - Aug 22): Data Scientist
- Developed credit score, Collection, Fraud prevention, Insurance risk models and Income prediction models for financial, retail and insurance institutions in Brazil
- Structured queries to create new set of attributes
- Structured template for deploying ML models using Flask framework
- RD: Research on applications of unsupervised and Bayesian deep learning methods to credit data.
- Techs: R, Python, SQL, Spark, Hive, Github.
Research experience
- PART Lab-KAUST (Aug 21- Dec 21): Visiting Student Researcher
- Machine Unlearning: unlearn deep learning model without retraining from scratch.
- Supervisor: Dr Di Wang
- Techs: Python (Pytorch mainly), Github.
- Small Lab - UfScar (Feb 19- Dec 19): Visiting Student Researcher
- Goodness of fit using the nonparametric full Bayesian Significance Test.
- Supervisor: Dr Rafael Izbicki, Dr. Luis Salasar
- Techs: R, Github.
Publications
Talks
Cross Validation for the Log Gaussian Cox Process
Poster at JSM 2024, Portland-OR, USA
Validation of Point Process Models
Guest Lecture at University of Pretoria, Pretoria, South Africa
Cross Validation for the Log Gaussian Cox Process
Talk at ISBA 2024, Venice, Italy