Danilo Pedrelli, PhD

Experience

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  CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

  Jan 2016 - Aug 2020

  Researcher

  Researcher with a doctorate scholarship, focused on topics of quantum and relativity, or, in more technical language, quantum field theory. During my doctorate I developed both hard skills (programming) and soft skills (project leadership).

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  Federal University of Pará

  Oct 2017 - Jul 2018

  Temporary professor

  I was a professor of computing subjects for physics, as well as calculus, experimental physics and teaching for undergraduate courses in Physics.

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  Universidade do Minho

  Oct 2018 - Sept 2019

  Advanced Scientific Internship

  The period I spent carrying out part of my research, with one of the biggest references in the study of graphene, having presented the results in articles and conferences.

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  GYRA+

  Sept 2020 - Apr 2021

  Data Scientist

  - Risk and Credit Volume Modeling: Developed models to assess risk and credit volume for partners' customers, providing valuable insights for making financial decisions.- Transition to Kubernetes Environment on GCP: Led the transition of all models deployed in virtual machines to the Kubernetes environment on Google Cloud Platform (GCP), ensuring scalability and operational efficiency.- Market Profile Analysis during the Pandemic: I carried out detailed analysis of the market profile during the pandemic period, identifying trends and opportunities for adaptation and growth. Show less

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  Stefanini Brasil

  May 2021 - May 2022

  Senior Data Scientist

  I worked as a consultant for one of the five largest banks in the country, providing strategic support and implementing data science solutions.- Branch Clustering: Developed a bank branch clustering model to identify similarity profiles and compare the adequacy of expenses, optimizing resource allocation.- Data Envelopment Model (DEA): Implemented a Data Envelopment Analysis (DEA) model to compare agencies' performance, providing actionable insights for operational improvement.- Creation of a Dashboard with Metrics and Results: I assisted in the development and implementation of a personalized dashboard with relevant metrics and results, offering a comprehensive and accessible view of the agencies' performance.- Prospecting Model for Customers Interested in Solar Energy: I created and implemented a prospecting model to identify potential customers interested in solar panels, boosting sales and market expansion.- Credit Spread Modeling: I carried out credit spread modeling for financial products, contributing to more accurate and competitive pricing. Show less

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  GestorLearn

  Mar 2022 - Jan 2025

  Co-Founder & Teacher

  GestorLearn is a company dedicated to democratizing knowledge in Machine Learning for those interested in entering this dynamic area. Our approach combines theory and practice, offering students a comprehensive understanding of market demands, combined with a solid foundation of theoretical knowledge. As a co-founder and teacher at GestorLearn, I have the privilege of guiding our students through the entire lifecycle of an ML project, empowering them to face real-world challenges.

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  Boa Vista

  Jun 2022 - Apr 2024

  Senior Data Scientist

  - Market MIS for the credit cycle: Developed and implemented a Management Information System (MIS) integrated with models and metrics for assessing default across the entire credit cycle, providing crucial insights for risk mitigation.- Churn Model for SME Customer Retention: I created a churn model to identify potential customers likely to abandon the company, allowing proactive retention actions and increased customer satisfaction.- Implementation of Models and Variables: Led the implementation of the first models in the area, in addition to implementing variables that feed these models, ensuring their continued effectiveness and relevance.- Analysis of Insights for the Business Team: I carried out detailed analyzes to provide valuable insights to the business team, allowing them to make informed and strategic decisions. Show less

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  Agibank

  May 2024 - now

  I'm currently building the framework for model validation, creating from the ground the strucuture of model monitoring, as well as dealing with ethical issues related to the models, such as interpretability, fairness, transparency, among others. Model development for Anti-money Laundry, as well as analytical insights for non-financial risks.

  • Model Validator

    Jan 2025 - now

  • Senior Data Scientist Risk

    May 2024 - Dec 2024