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As a Health Data Science professional and researcher at the enterprise level, Luis Ahumada possess extensive and practical expertise in biomedical and healthcare informatics. He have a proven track record in strategic visioning and effective leadership, driving innovation in his role. Currently, Luis Ahumada is leading the enterprise Data Science efforts for clinical care, research, and operations at JHACH.Luis knowledge and hands-on experience encompass various areas, including data/text mining, web mining, machine learning, information retrieval, social network analysis, and knowledge representation. Specifically, I excel in the following domains:• Parametric and Nonparametric Bayesian statistics, allowing for robust and flexible statistical modeling.• Classification techniques such as Neural Networks, Naive Bayes Classifier, Bayesian Networks, Decision Trees, and Support Vector Machines (SVM), enabling accurate data categorization.• Proficiency in Clustering Analysis, facilitating the identification of patterns and relationships within complex datasets.• Natural Language Processing (NLP) expertise, enabling the extraction of meaningful insights from unstructured text data.• Strong background in information retrieval and information extraction, ensuring efficient access and extraction of relevant knowledge from vast repositories.• Skill in knowledge organization and representation, including the use of ontologies, metadata, and social tags, which enhances data organization and facilitates effective knowledge management.• Demonstrated ability to develop innovative data science approaches, methods, and algorithms that drive impactful results.• Experience analyzing large-scale imperfect real-world datasets, allowing for practical insights and robust decision-making.
Talks About #textmining #informationvisualization #artificialintelligence
Preferred Locations #NorthAmerica