Currently, I work with product recommender systems and catalog organization in marketplace environment for Motorola Mobility, via Eldorado Research Institute. I have solid knowledge in Data Science, having a lot o experience in probability, bayesian inference, statistical sampling, time series, stochastic process and data visualization.In addition, I have a wide knowledge in Machine Learning, having worked on projects that used data from a variety of sources. With that, I gained experience in different fields of ML, being the main ones: Clustering, Natural Language Processing (NLP), Image Processing, Temporal and Tabular data. I have experience in ETL, combining data from different sources for later use in ML models.In terms of tools, I have intermediate and basic knowledge in Google Cloud Platform (GCP) and AWS (studying), respectively. I can use Spark and Hadoop for large data manipulation. For Neural Networks, I'm able to work with Tensorflow and Torch. For development, I have experience with Docker, Kubernetes and MLFlow. I understand well how a marketplace environment works and I had the opportunity to work on ERP systems for this purpose. Still in marketplace, I have experience in the VTEX platform and its APIs. The company VTEX has been named as a 'Major Player' in the IDC MarketScape.I'm a PhD student in Computer Science at Federal University of Amazonas with a research focus in Bioinformatics and Machine Learning fields. I obtained a master's degree in Computer Science and bachelor's degree in Statistics both from Federal University of Amazonas in 2018 and 2021, respectively. My master's dissertation project uses NLP, xAI and Statistical Hypothesis Test to explore and understand genetic processes in dengue virus RNA. I also worked on Ministry of Health of Brazil research, via Brasília University (UnB), that approach arboviruses endemics risk in the Brazil.