Adriana Beal

Adriana Beal is a seasoned data analytics professional with a background in designing solutions for extracting insights from various data sources, including IoT, FinTech, healthcare, marketing, and education.

Her recent projects encompass predictive modeling for anomaly detection in mobility data, enhancing GPS-based location estimates, predicting outcomes for students and homeless individuals, and utilizing advanced NLP for unstructured data interpretation.

Adriana's toolkit comprises Python libraries like Pandas, Numpy, scikit-learn, spaCy, NLTK, along with expertise in Spark, Dask, and AWS tools such as Sagemaker, S3, and EC2.

She holds a B.Sc. in Electronic Engineering, an MBA in Strategic Management of Information Systems from reputable universities in Brazil, and a Data Analytics Certification from the University of Texas with a focus on big data and applied machine learning.

Adriana Beal's work has been internationally recognized and published by esteemed organizations like IEEE and IGI Global.

Throughout her career, Adriana has held roles like Data Science Consultant at Social Solutions, Lead Data Scientist at Social Solutions, and Data Scientist at Carnegie Technologies.

She has also served in managerial positions including Director of Product Management at Gravitant (an IBM company), Product Manager at Spredfast, IT Business Consultant at Hewlett-Packard, and Lead Business Analysis Consultant at ThinkBRQ.