MarcellaRocha | Data Science | Best Researcher Award

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MarcellaRocha | Data Science| Best Researcher Award

Dr. MarcellaRocha, LAIS/UFRN, Brazil.

 Dr.Marcella Rocha Andrade Da is a researcher at the Universidade Federal do Rio Grande do Norte in Natal, Brazil 🇧🇷. With a PhD in Electrical and Computer Engineering, she has extensive experience in Computing, Machine Learning, Artificial Intelligence, and Natural Language Processing. Her expertise includes Digital Image Processing, Flutter, Digital Electronics, Python, C++, Dart, Matlab, and SQL. Marcella excels in Data Science, Data Engineering, Data Mining, and Big Data, utilizing tools like Power BI, PySpark, Hive, ADAC, and Teradata. She is known for solving complex problems, leading Agile teams, and collaborating with cross-functional groups. 📈💡

Publication Profile

Scopus

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 📈

Aniket KumarSingh | Data Analytics | Best Researcher Award

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Aniket KumarSingh | Data Analytics | Best Researcher Award

Dr.Aniket KumarSingh, San Jose State University, United States

Dr.Aniket Singh is a skilled computing professional with a Master’s degree in Computing and Information Systems, specializing in Deep Learning from Youngstown State University. Proficient in various programming languages and data analytics tools, he excels in deep learning, predictive modeling, and web development. Currently, he is a Vision Systems Engineer at Ultium Cells and CTO at MyEvaluationPal. Aniket has extensive experience in developing high-precision AI models, leading collaborative projects, and contributing to academic research. His passion for innovation and technology drives his contributions to the field of AI and machine learning. 🌐🧠📊

 

Publication Profile

Scopus

Google Scholor

Education And Experience

Dr.Aniket KumarSingh, based in Youngstown, OH, is a versatile professional with extensive expertise in programming, data analytics, machine learning, and web development. With a Master’s in Computing and Information Systems, specializing in Deep Learning, Aniket has a strong academic foundation. He has excelled in roles like Vision Systems Engineer at Ultium Cells and CTO at MyEvaluationPal. Aniket’s skills span Python, Java, AWS, and TensorFlow, among others. He has contributed to numerous projects and publications, showcasing his leadership and technical prowess. As an active volunteer and member of professional organizations, Aniket is dedicated to advancing technology and education. 🌟👨‍💻🔍📈

 

Professional Development

🌟 Dr.AniketKumar Singh is a dynamic tech professional with expertise in Python, Java, C++, and machine learning frameworks like TensorFlow and PyTorch. Holding a Master’s in Computing and Information Systems from Youngstown State University (GPA: 3.82/4.0) 🧠, Aniket excels in deep learning and predictive modeling. As CTO at Byte Brain AI, he leads innovative AI solutions for automated credential evaluation 🤖. His hands-on experience includes roles as Vision Systems Engineer at Ultium Cells and Research Associate at YSU. Aniket’s dedication to AI and continuous improvement shines through his impactful projects and recognized publications 📚.

 

Research Focus

Dr.Aniket KumarSingh’s research focus lies in the innovative applications of machine learning and data analytics. His work spans deep learning models for defect detection, predictive modeling, and large language models in economics. With extensive expertise in AI, he develops high-precision models to solve complex problems and enhance system efficiency. Singh’s commitment to cutting-edge research is evident in his publications and contributions to academic communities. He is a key figure in advancing AI-driven solutions, continually pushing the boundaries of what’s possible in technology and data science. 🌟📊🧠💻📈

 

Publication Top Notes