Master of Business Administration (MBA) in Artificial Intelligence and Big Data @ University of São Paulo (USP)
July 2022 - October 2023 | São Carlos, Brazil
- The MBA covers the most diverse topics within the area of artificial intelligence and big data, such as: Python, R, statistics, SQL, Machine Learning, Deep Learning, Data Mining and Visualization, Data Governance and Management, Big Data, Natural Language Processing and Data Analysis.
- The theme of my end-of-course work was "Speech Emotion Recognition using Deep Learning and Wavelet Transform" and was done under the supervision of Dr. Prof. Alessandra Alaniz Macedo.
Bachelor in Computer Science @ Federal University of Itajubá (UNIFEI)
January 2018 - December 2021 | Itajubá, Brazil
- Fellow in front-end development of a unified medical data management platform for the city of Itajubá and the state region (August/2020 - January/2021).
- Participated in programming competitions at college and state region representing UNIFEI (October/2018 - February/2019).
- Worked at byron.solutions, a junior technology and information company located inside UNIFEI, as a WordPress web developer (April/2018 - October/2018).
The theme of my final graduation work was "Comparison of deep learning models in the classification of comments containing hate speech on the Internet" and it was done under the supervision of Dr. Prof. Isabela Neves Drummond.
Junior Machine Learning Researcher @ CPQD
April 2022 - Present | Campinas, Brazil · Remote
- Refinement of the voice activity detection model by more than 10% accuracy, improving the quality of the company's speech recognition product.
- Development of new machine learning and deep learning models for the tasks of classifying sound events, classifying sleep stages using data collected from electronic bacelets, sentiment analysis and classification of topics in texts, non-supervised clustering for diagnosing the health of vehicle engines using temporal data, classification and quality monitoring of dental prostheses in an Industry 4.0 scenario.
- With the exception of the sound event classification model, which was written in C and embedded directly into the hardware, the PoCs of the developed models were put into production using a combination of Docker and Flask.
Junior Data Scientist @ SMARKIO (a D1 company)
March 2021 - March 2022 | Itajubá, Brazil · Remote
- Development of new machine learning models for clustering tasks, sentiment analysis, and classification of text message topics.
- Enhancement of the algorithm for recommending the best communication channel, leveraging the response rate and customer engagement by more than 15%.
- Refinement of the data acquisition and pre-processing stage, improving data quality, and reducing processing time by more than 6 times.
- Development of new tools and technical product reports for the curation team, improving the quality of customer chatbots.
Intern Python Developer @ B2ML
January 2021 - March 2021 | Itajubá, Brazil · Remote- Updating and maintenance of a web platform aimed at reconciling company receivables.
- Deployment of Machine Learning Models (Aug, 2024)
- MLflow in Action - Master the art of MLOps using MLflow tool (Jul, 2024)
- Machine Learning Specialization (Jun, 2024)
- Duolingo English Proficiency Certificate (Jan, 2024)
- Mathematics for Machine Learning: Linear Algebra (Feb, 2023)
- Version Control with Git (Feb, 2023)
- Machine Learning Engineering for Production Specialization (Jan, 2023)
- PyTorch for Deep Learning and Computer Vision (Dec, 2022)
- Languages: Portuguese (Native), English (Advanced, 130/160 overall score on the Duolingo English Test).
- Hard Skills: Python, C, C++, SQL, MySQL, Machine Learning, Deep Learning, BeautifulSoup, Selenium, Keras, PyTorch, Flask, FastAPI, Streamlit, Docker, Git, Matplotlib, Plotly, Seaborn, Pandas, Numpy, Scikit-Learn, PyTest, Unittest.
- Soft Skills: Teamwork, Communication, Critical thinking, Problem-solving, Leadership, Time management, Adaptability, and Discipline.