Pedro Alves

Experience

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  FAPESB

  Aug 2019 - Aug 2020

  Undergraduate Researcher

  Working with multilinear and alternating transformations.Understanding the concept of dual space.Knowing what tensors are and their properties.Identifying and relating the different ways tensors are usually presented.Working with the exterior product and Grassmann algebra.Familiarity with various applications of tensors in Linear Algebra, Geometry, and Physics.

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  CNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológico

  Oct 2020 - Jun 2022

  To be able to represent rotations in the plane and in space through matrices, complex numbers, quaternions, or geometric algebra.To acquire introductory knowledge of group theory, metric spaces, topology, and differential geometry.To become familiar with important matrix groups and geometric algebra.To understand what Lie algebras are and how they relate to Lie groups.To be aware of the relationship between Lie algebras and bivector algebras.To understand how Lie groups and Lie algebras are used in Geometry, Physics, and other fields. Show less Working with the geometric product of Clifford algebra.Understanding the geometric algebras of R2, R3, and Minkowski spacetime.Representing reflections and rotations using geometric algebra and how to use rotors.Acquiring elementary notions of special relativity theory, relating it to geometric algebra.Deriving and integrating multivector fields, and understanding the fundamental theorem of geometric calculus.Expressing the main concepts and laws of electromagnetism in terms of multivectors and geometric calculus. Show less

  • UNdergraduate Researcher

    Oct 2021 - Jun 2022

  • Undergraduate Researcher

    Oct 2020 - Oct 2021
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  Sua Música

  Apr 2022 - Jul 2022

  Data Scientist

  Development of interactive dashboards to provide insights and relevant data visualizations for business areas. Conducting queries on databases and datalakes in AWS Athena, ensuring the collection and integrity of necessary data for analysis and decision-making. Creating custom machine learning models to optimize marketing strategies, using content recommendation techniques and user behavior forecasting. In-depth data analysis in Jupyter Notebooks using Pandas and Plotly, identifying trends, patterns, and business opportunities to drive company growth. Show less

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  Itaú

  Sept 2022 - Dec 2023

  Data Analyst

  Responsible for data analysis in the Real Estate (IMOB), Consortium, and Individual Banking sectors, evaluating risk Key Performance Indicators (KPIs) and Key Risk Indicators (KRIs), and preparing detailed studies and diagnoses. Conducting tests on SAS and Hadoop databases to identify and report any inconsistencies. Developing materials for presentation in Risk Executive Committees, extracting data from Tableau to provide a clear and objective data view. Monitoring data pipelines with business teams for KPI reperformance. Automating email workflows using SAS to streamline internal processes.Internal Data Projects: Participation in the 2022 Data Battle - Open Finance Collaborated in developing a 360-degree customer view, using transaction data from other banks to provide valuable insights. Talent in Action 2023 Created a clustering model to identify customers rejected for financing who could be directed to the consortium, aiming to find profitable business opportunities. Show less

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  DBC Company

  Dec 2023 - May 2024

  Cientista de dados

  - Migration of monitoring system servers for the credit granting model in the Databricks environment, aiming to optimize the efficiency and accuracy of the process, using Spark in Databricks.- Creation of the monitoring system for the corporate credit granting model.

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  NTT DATA Europe & LATAM

  May 2024 - now

  MLOps Engineer

  - Deployment of anomaly detection models for time series.- Maintenance of AWS StepFunctions pipelines.- Creation of observability dashboards for machine learning model infrastructure in Grafana and CloudWatch.- Deployment of a classification model using NLP.- Deployment of machine learning models using serverless architecture on AWS.- Refactoring machine learning code following SOLID principles and clean architecture.- Automating deployments using CI/CD pipelines in GitHub Actions.- Creating a serverless architecture for AI model deployment on AWS using Terraform. Show less