Jéssica Ferreira

Jéssica Ferreira's work experience includes several data science roles. Jéssica worked as a Lead Data Scientist at Jump Label Solutions, where they developed and applied Data Mining and Machine Learning techniques, monitored consultants, and provided training. Prior to that, they worked as a Data Scientist at Tango.Tech, focusing on developing pricing models and sales forecast models. Jéssica also worked as a Data Scientist at Vert Integradora de TI, where they conducted text mining, sentiment analysis, and forecasting. Jéssica gained experience as a Data Scientist at Maxtera Extrema Performance and B2T - Business to Technology, where they worked on social network analysis, fraud detection models, and replenishment prediction models. Additionally, Jéssica worked as a Statistician at União Química Farmacêutica Nacional, implementing statistical techniques for quality control, and at Ativos S.A as a Statistician.

Jéssica Ferreira completed their undergraduate studies in Statistics at the Universidade de Brasília from 2011 to 2015. In 2019 and 2020, they pursued a postgraduate degree in Data Science and Big Data at PUC Minas. In addition to their formal education, Jéssica obtained various certifications related to Artificial Intelligence, Big Data Analytics, Machine Learning, and Statistical Analysis from institutions such as Data Science Academy and SAS.