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Patricia Akemi da Silva is a skilled Data Scientist with extensive experience in developing predictive models and conducting data analysis across various industries. Currently employed at Jump Label Solutions since July 2023, Patricia has successfully created a churn model and designed comprehensive data science ecosystems. Previous roles include significant contributions at Lojas Renner S.A., where regression models for e-commerce sales were developed, and at Jump Label Solutions (August 2020 - December 2021), where both supervised and unsupervised machine learning models were implemented. With a background in statistics, Patricia also served as a Statistician and Consultant in multiple organizations, utilizing tools such as Python, SQL, R, Azure, and Excel to derive strategic insights. Educational qualifications include an MBA in Data Science from USP/Esalq and a Bachelor's degree in Statistics from Universidade de Brasília.