Curriculum

A pdf version of my CV is available here.

Education

M.S. in Mathematical Modeling - Getulio Vargas Foundation (FGV), 2021/2023

• Advisors: Jorge Poco and Marcos M. Raimundo (Unicamp)
• Dissertation: Multi-objective Optimization in Machine Learning - A Systematic Review

B.S. in Applied Mathematics - Getulio Vargas Foundation (FGV), 2017/2020

• Advisors: Jorge Poco and Marcos M. Raimundo (Unicamp)
• Bachelor’s dissertation: Application of multi-objective optimization in machine learning problems to decrease discrimination

Publications

1. Vitoria Guardieiro, Marcos M. Raimundo, Jorge Poco. (2023). “Enforcing fairness using ensemble of diverse Pareto-optimal models”. Data Mining and Knowledge Discovery.

2. Vitoria Guardieiro, Marcos M. Raimundo, Jorge Poco. (2022). “Analyzing the Equity of the Brazilian National High School Exam by Validating the Item Response Theory’s Invariance”. Proceedings of the 15th International Conference on Educational Data Mining.

3. Vitoria Guardieiro, Jorge Poco. (2021). “Exploring counterfactual antecedents to reduce criminality in Rio de Janeiro” (Project report). School of Applied Mathematics, Getulio Vargas Foundation.

Experience

New York University

• Research Scientist – Oct 2023/Now
• Visiting Researcher – Jan 2023/Apr 2023
  • Researched Topological Data Analysis for Machine Learning explainability at the Visualization Imaging and Data Analysis Center (VIDA) with Professor Claudio Silva

Getulio Vargas Foundation

• Graduate Researcher – March 2021/Jun 2023
  • Researched Multi-Objective Machine Learning and elaboreted an extensive survey of the field
  • Developed Fair Machine Learning models based on Multi-Objective Optimization and Ensemble Learning
• Undergraduate Researcher – Aug 2017/Sep 2019
  • Studied neural networks and some methods derived from it, such as Recurrent Neural Networks, applying a model to generate music from a database, and Deep Reinforcement Learning, applying it to game models.
  • Worked with Waze data, developing a clustering algorithm for interval time-spatial structures.
  • Studied Logic and Natural Language Processing, contributing to databases such as Open Multilingual Wordnet (OMW) and Suggested Upper Merged Ontology (SUMO).
  • Participated in the elaboration of the Consumer Price Index - Web (IPC-Web), a joint project between the School of Applied Mathematics (EMAp) and the Brazilian Institute of Economics (IBRE). In the project, I was responsible for filtering and classifying the products from the database resulting from the crawler used.

Gabriel Tecnologia
Startup that created a protection network that uses artificial intelligence cameras.

• Data Scientist – Jan 2021/Now
  • Developed computer vision object detection, classification and tracking models for the automatic detection of anomalies in security camera videos.
• Data Science Intern – May 2020/December 2020
  • Studied and tested Facial Detection and Recognition models, especially open-source ones, and developed the first version of the Facial Recognition system used by the company.

BTG Pactual
The largest investiment bank in Latin America.

• IT Intern – Jan 2020/Apr 2020
  • Developed dashboards, visualizations, and metrics for internal IT products. Learned Docker, C#, and Angular.

PSR - Energy Consulting and Analytics
Global provider of technological solutions and consulting services in the areas of electricity and natural gas (E&G) since 1987.

• Intern – Feb 2019/Oct 2019
  • Developed optimization programs for maintenance scheduling in thermoelectric and hydroelectric plants and determination of firm energy from hydroelectric plants.
• Summer Intern – Jan 2019/Feb 2019
  • Learned Julia programming language and optimization methods like linear programming and integer linear programming (ILP).

Teaching

Teaching Assistant

• Machine Learning, 2022/2.
• Continuous Optimization, 2022/2.
• Optimization for Data Science, 2022/2.
• Machine Learning, 2022/1.
• Statistical Inference, 2021/2.
• Introduction to Computing, 2018/1.

Awards & Scholarships

Coordination for the Improvement of Higher Education Personnel (CAPES)
M.Sc. Scholarship - Mar 2021/Feb 2023

FGV’s Center for the Development of Mathematics and Science (CDMC)
B.Sc. Scholarship - 2017/2020

Brazilian Mathematical Olympiad of Public Schools (OBMEP)

• Gold medal (2016) - Top 0.001%
• Bronze medal (2015) - Top 0.03%
• Silver medal (2014) - Top 0.01%
• Silver medal (2013) - Top 0.01%
• Bronze medal (2012) - Top 0.03%
• Bronze medal (2011) - Top 0.03%

Jovens Gênio Algar (JoGAr) - Coding Marathon

• First place in the advanced category (2016) - Top 1%
• Third place (2015) - Top 5%
• Fourth place (2014) - Top 5%

BeeCrowd (previously URI Online Judge) - Competitive Programming Platform
Top 0.2% of users

Skills

Programming languages: Python, Julia, Matlab, R, C, C++, Javascript

Languages: Portuguese (Native) and English (TOEFL 112/120)

Last update: Nov 28, 2023