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Resume

I’m a Brazilian mathematician with a Ph.D. in Algebra, and I’ve always been passionate about problem-solving. While finishing my doctorate, I discovered my love for Data Science and Analytics, which led me to pursue a specialization in the field. I enjoy working on data analysis and mathematical modeling, blending my academic background with real-world applications!

I have hands-on experience with tools like Python, SQL, Metabase, dbt, and BigQuery (including its machine learning capabilities).

Experience

2024 - present

Data Analyst & Scientist

Shufflle Up - Estonia

  • Designed and managed reports and dashboards with key performance metrics to support data-driven decision-making.

  • Created a machine learning-based game recommendation system tailored to user preferences, enhancing personalization.

  • Worked closely with data engineers and other teams to ensure smooth integration, clear communication, and project success.

2022 - 2023

Teaching Intern

Federal University of Rio Grande do Sul, BR

  • Collaborated with advisor to lead recitations, grade coursework, and answer 20+ students' questions.

  • Planned, evaluated and reviewed course content, course materials, and methods of instruction.

Education

2023 - 2025

University of São Paulo, BR 

MBA in Data Science and Analytics

  • Developing key analytical skills for data-driven decision making.

  • Relevant Coursework: Machine Learning, Data Science Statistics, Big Data Analytics, Business Intelligence.

2020 - 2024

Federal University of Rio Grande do Sul, BR

PhD in Pure Mathematics

  • Delivered lectures to undergraduate students on subjects such as Linear Algebra and Analytic Geometry. 

  • Dissertation under development on Noncommutative Algebra.

2018 - 2020

State University of Maringá, BR

M.Sc in Pure Mathematics

  • Thesis on Abstract Algebra under advisory of Prof. Laerte Bemm

2014 - 2018

State University of Maringá, BR

Major in Mathematics

  • Graduated with 3 research projects developed on the algebra field and one year of participation in an extracurricular mathematical modeling course.

  • Relevant Coursework: Statistics, Computational Mathematics, Numerical Calculus.

Hard Skills
 

  • English Language: B2 - good/conversational, able to read and write emails and participate actively in calls.

  • Programming languages: Python (pandas, scikit-learn, numpy, matplotlib), R.

  • Data visualization tools: Metabase, Tableau, Power BI.

  • Data Science & Miscellaneous Technologies: BigQuery (ML), dbt, Excel, SQL, SAS, LaTeX.

Soft Skills
 

  • Proactive

  • Organized

  • Flexible

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