Aurélio K.Full-stack Product Engineer
Skills
Holder of a Statistics degree from the University of São Paulo, with six years of experience in Data Science, encompassing areas such as programming, statistical analysis, web scraping, machine learning modeling, AI experimentation, and cloud environments. Proficient in Agile methodology, this professional is now transitioning to software development and is currently studying Systems Analysis and Development. The pursuit involves gaining proficiency in new languages and frameworks like C#, .NET, Django, and JavaScript/TypeScript with the objective of becoming a software developer. Throughout the career, extensive experience has been garnered in technologies including Python, SQL, Git, Azure, and AWS. Additionally, strong interpersonal skills such as effective communication, teamwork, adaptability, time management, independence, and problem-solving have been developed.
Data Scientist
3/1/2023 - 12/1/2023
Developed proficiency in Python, Azure, LangChain, and Large Language Models (LLMs). Conducted extensive tests and research studies with LLMs and Retrieval-Augmented Generation (RAG) applications, applying these technologies to various business areas in the telecommunications sector. Successfully integrated advanced machine learning models to solve complex business problems, demonstrating expertise in cloud computing and artificial intelligence applications.Data Scientist
2/1/2022 - 11/1/2022
Specialized in the development of machine learning and deep learning models leveraging unstructured data for an AIoT product with a focus on sleep tracking. Developed and implemented unit tests to verify the functionality and integrity of these models. Conducted thorough code reviews with team members to ensure adherence to Clean Code principles, facilitating high-quality and maintainable codebases.Data Scientist
4/1/2020 - 8/31/2021
Developed proficiency in Python, C#, and SQL through the creation of text mining tools for extracting information from PDF documents related to investment funds, aimed at automation and reducing operational risks. Conducted extensive web scraping of public data to build databases, facilitating the development of analyses and statistical models. Constructed machine learning models and developed a portal to provide updated information to managers. Collaborated on projects with internal bank areas to disseminate techniques and best practices in Data Science projects.Junior Statistician
7/1/2018 - 11/30/2019
Developed analyses and general statistical models aimed at marketing, leveraging SQL for database querying and data manipulation. Contributed to the development of packages in R and Python to streamline data analysis processes and enhance the training of machine learning algorithms. Utilized Docker for creating isolated and reproducible environments, ensuring the consistency and scalability of machine learning models. Demonstrated expertise in utilizing machine learning techniques and statistical methods to drive data-driven marketing strategies.
Bachelor's Degree in Statistics at University of São Paulo
2012 - 2018Data Mining in Complex Data at Unicamp
2020 - 2020
Ultimate C# Masterclass for 2024 at Udemy
2/1/2024Natural Language Processing with Classification and Vector Spaces at Coursera
5/1/2021Extension Course in Complex Data Mining at Universidade Estadual de Campinas
12/1/2020Data Science: Supervised Machine Learning in Python at Udemy
4/1/2020Neural Networks and Deep Learning by deeplearning.ai on Coursera at Coursera
2/1/2020Machine Learning by Stanford University on Coursera at Coursera
1/1/2020
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