Leading a team of Data Scientists designing AI solutions to manage risk• FinCrime Risk: Identify and mitigate suspicious activities, such as Fraud and AML• Credit Risk: Assess customer risk and implement the framework for credit actions• Ultimately, we must mitigate those risks while maintaining a good customer experience• Leading cross-team rituals for the Data Science (Machine Learning) function

Managed a team designing solutions for Anti-Money Laundering• Leading Data Scientists and Machine Learning Engineers.• Fighting against Financial Crime using AI, and improving operational efficiency.• Data Science Chapter contributor: internship program, journal club, mentorship, etc.

Worked as a consultant to help design and deploy "Generative AI with LLMs" course.• Worked on course structure, quizzes, readings and more• Interacted with Instructors from AWS and other experts• Over 40,000 students within a week of its launch.

I moved to an advisor role, in which I help with the following:• How to build high-performance teams• Guiding leadership on people management • Best practices to create, deploy & maintain ML models

We created a Voice Biometry solution using Deep Learning and more.• Managing a team of Data Scientists designing AI solutions.• Design, Development, Research, and Delivery of ML solutions.• Technical Leadership on Data Science & AI projects.• Highlight: Over R$2.5M of injuries avoided through AI fraud prevention.

PUC often invited me to lecture about Data Science related subjects in their Specialization Programs• Courses: "Data Visualization," "AI & ML," "ML for Management."• Mentoring for the Specialization Project

Part of Itaú Image Processing / Computer Vision team inside Data Science area. • Design, Development and Delivery of Machine Learning enabled solutions.• In particular, I focused on Computer Vision & Image Processing problems.• Mentorship and Consultancy on Data Science related subjects.• Created a Computer Vision course for Data Scientists.• Highlight: 3rd place on "Batalha de Dados", a data-driven solutions contest.• Highlight: Merit Award for Performance in the first semester of 2019.

ITAú Analytics Data Science program• Developed Research on Computer Vision, which led to a publication in partnership with ITA.• Data Analysis, Development and Evaluation of Machine Learning Models. • Highlight: Double promotion for outstanding performance and collaboration.• Highlight: Top 5 solution for a Kaggle-like contest (over 40 teams).

Carrying out the "Data Science & Machine Learning" track:• Lectured 2-month courses, covering "Data Prep, Analysis & Viz" and "Machine Learning".• Designed a 1-year course on Data Science, very practical and market-oriented.

Mentor and Project Reviewer for the Deep Learning Nanodegree @ Udacity. • Generative Adversarial Networks• Recurrent Neural Networks and LSTMs• Supporting students through their learning journey.

Developed Research in Image Processing for Medical Diagnosis• Big Data Methods applied to Medical Images Analysis and Biometry• Machine Learning for Image Classification and Retrieval• Content-based Image Retrieval using Texture Descriptors• C++ with OpenCV

Analytic Geometry Undergrad Teaching Assistant [2 Semesters]• Developed transdisciplinary projects with 'Analytic Geometry' and 'Algorithms'• Assisted students and professors throughout the semesters.• Available for weekly office hours.