Lorrayne Silva

Lorrayne Silva is an experienced Data Scientist with expertise in exploratory data analysis, time series analysis, forecasting, and machine learning, utilizing tools such as Python and SQL alongside libraries including Pandas, Numpy, and sklearn. Currently employed at Stone as a Data Scientist focused on fraud prevention, Lorrayne previously worked at Appia and Orguel, where responsibilities included data analysis and dashboard creation. Lorrayne has also held positions in supply chain assistance and education, with a solid academic background that includes ongoing post-graduate studies in Data Science and Artificial Intelligence at Faculdades Prominas and a specialization in Data Science from Universidade Federal de Minas Gerais.