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Aurélio K.
Full-stack Product Engineer

Github
Python
C#
Postgresql
Mysql
Microsoft Azure
Amazon Aws
Docker Cloud
Bio

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 - 2018

  • Data Mining in Complex Data at Unicamp
    2020 - 2020

  • Ultimate C# Masterclass for 2024 at Udemy
    2/1/2024

  • Natural Language Processing with Classification and Vector Spaces at Coursera
    5/1/2021

  • Extension Course in Complex Data Mining at Universidade Estadual de Campinas
    12/1/2020

  • Data Science: Supervised Machine Learning in Python at Udemy
    4/1/2020

  • Neural Networks and Deep Learning by deeplearning.ai on Coursera at Coursera
    2/1/2020

  • Machine Learning by Stanford University on Coursera at Coursera
    1/1/2020

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