MarcellaRocha | Data Science| Best Researcher Award

Education and Experience 

• PhD in Electrical and Computer Engineering 
• Master in Computer Engineering from UFRN (2017-2019) 
• Bachelor’s Degree in Computer Engineering from IESB (2010-2014) 
• Data Scientist II: Big Data, SQL, Python, PySpark, Hive, ADAC, SAS, Teradata, Power BI, Financial data 
• Data Scientist: Big Data and Language Model, SQL, Python, PySpark, Azure, Hive, ADAC, Power BI 
• Machine Learning Research: Data Science, Machine Learning, NLP, Data and text mining, Healthcare data, Python/R programming 

Professional Development 

Dr.Marcella has developed studies and research in Data Science, Machine Learning, and NLP, focusing on Data and text mining in the healthcare domain. She has consistently demonstrated her ability to deliver innovative solutions and manage cross-functional teams effectively.

Research Focus 

Dr.Marcella’s research focuses on Machine Learning, Natural Language Processing, and Data Science, with applications in healthcare data analysis. She is particularly interested in text analysis, authorship recognition, and leveraging AI for public health improvements.

Publications 

1. Half dose ChAdOx1 nCoV-19 vaccine was equivalent to full doses to reduce moderate and severe COVID-19 cases (Galvão-Lima, L.J., de Medeiros Júnior, N.F., Jesus, G.S., … Valim, V., Valentim, R.A.M., IJID Regions, 2023) 
   • 0 Citations 
2. A text as unique as a fingerprint: Text analysis and authorship recognition in a Virtual Learning Environment of the Unified Health System in Brazil (Rocha, M.A.D., Morais, P.S.G.D., Barros, D.M.D.S., … Dias-Trindade, S., Valentim, R.A.D.M., Expert Systems with Applications, 2022) 
   • 4 Citations 
3. A text as unique as fingerprint: AVASUS text analysis and authorship recognition (Rocha, M.A.D., Nóbrega, G.A.S.D., De Medeiros Valentim, R.A., Alves, L.P.C.F., ACM International Conference Proceeding Series, 2020) 
   • 4 Citations