CV

Education

• M.S. in M.Sc. Computational and Applied Mathematics (CAM) - Friedrich-Alexander Universität (FAU), Erlangen, Germany, 2025 (expected)
  • Specialization in Optimization and Numerical Analysis
• B.S. in B.ASc. Applied and Computational Mathematics - University of São Paulo (USP), São Paulo, Brazil, 2022
  • Thesis: “Support Vector Machines: Classification, Kernels, Regression, and Optimization”
  • Thesis Abstract: Study variants of the Support Vector Machine (SVM) algorithm, deriving the classification formulations C-SVC and ν-SVC, the regression formulations ε-SVR and ν-SVR, in their linear or kernelized forms, with convex optimization techniques, such as the Lagrangian, to build the dual optimization form; kernel properties, reproducing kernel maps and Hilbert spaces; and implementation of examples in Python.
  • Thesis Advisor: Nina S. T. Hirata, PhD.
  • Thesis Grade: Full remarks.
  • Minor: Statistical Economics / Econometrics.
• Supervised Studies / Undergraduate Scientific Initiation: Topological Brouwer Degree Theory. Academic Advisor: Pierluigi Benevieri, PhD.
• Supervised Studies / Undergraduate Scientific Initiation: Image Classification and Segmentation. Academic Advisor: Nina S. T. Hirata, PhD.

Work experience

• Metatimbre AI: Partner
  • Leading AI solutions, mainly with Natural Language Processing (NLP) and Computer Vision, with applications in pattern detection in voice, traffic safety, and others.
• Window Finance: Data Scientist
  • Developed AI pipelines to identify investment opportunities and predict financial indicators.
  • Collaborated on building decentralized finance platforms.
  • Tech Stack: Python, Prefect, SQL, TensorFlow, scikit-learn, Google Cloud, Docker.
• Sami Healthcare: Data Scientist, Sr
  • Improved customer acceptance rates by 2.8x with an ensemble model for imbalanced classification.
  • Built Deep Learning models for time series forecasting to enhance acquisition predictions.
  • Tech Stack: Python, SQL, Databricks, AWS, TensorFlow, imblearn.
• Albert Einstein Hospital: Data Scientist
  • Implemented an AI model for predicting absenteeism due to mental health issues using XGBoost.
  • Tech Stack: R, SQL, Docker, PostgreSQL.
• Safra Bank: Money Laundering Prevention Analyst
  • Developed systems for fraud detection and suspicious activity alerts.
  • Tech Stack: Python, R, SQL, SAS.
• Netpartners / Weduu: Data Scientist, Trainee to Jr
  • Implemented a Sales forecasting model for large retailers.
  • Tech Stack: Python, R, SQL, BigQuery.

Technical Skills

• Programming: Python, R, SQL, Bash/Shell, C/C++
• Libraries/Packages: Scikit-learn, Tensorflow, Keras, XGBoost, pandas, scipy, etc
• Cloud tools: Google Cloud, AWS, Docker, Prefect

Publications

Máquinas de vetores de suporte: Classificação, Regressão, Kernels e Otimização

Blöss, P. B. (2022). "Máquinas de vetores de suporte: Classificação, Regressão, Kernels e Otimização." Monografia para B.Sc. Matemática Aplicada e Computational pela Universidade de São Paulo (USP). 1(1).

Talks

Seminar on Convex Optimization for Dynamical Systems (FAU Summer Semester 2024)

July 04, 2024

Talk at FAU Erlangen-Nürnberg, Department of Mathematics, Erlangen, Germany

Teaching

Math/Physics assistant teacher