Dr. Kimberly Deas
Principal Informaticist | Clinical Data Scientist Consultant | Chemist | Health Disparities Researcher| Data Educator
Principal Informaticist | Clinical Data Scientist Consultant | Chemist | Health Disparities Researcher| Data Educator
Affectionately known as "Data Auntie", Dr. Kimberly Deas is a currently a Principal Analytics Research Scientist Consultant. Her work experiences and specializations include healthcare informatics, health disparities, chemical and health informatics, and computational toxicology.
Dr. Deas is a dynamic and engaging speaker specializing in healthcare and chemical informatics, health disparities, and AI/ML in healthcare. With 20+ years of expertise and leadership at BlackTIDES Data, she inspires audiences with practical insights on health equity and data-driven solutions. As a Data Educator, Dr. Deas empowers diverse
Dr. Deas is a dynamic and engaging speaker specializing in healthcare and chemical informatics, health disparities, and AI/ML in healthcare. With 20+ years of expertise and leadership at BlackTIDES Data, she inspires audiences with practical insights on health equity and data-driven solutions. As a Data Educator, Dr. Deas empowers diverse professionals through engaging talks and actionable strategies.
I teach Data Science and Analytics through coding webinars, 1:1 lessons, college courses, and corporate training programs for businesses ready to strengthen their teams. My classes cover R, Python, SQL, Tableau, and core data analytics, breaking down complex topics into skills anyone can master. With a background in pharma, biomedical inf
I teach Data Science and Analytics through coding webinars, 1:1 lessons, college courses, and corporate training programs for businesses ready to strengthen their teams. My classes cover R, Python, SQL, Tableau, and core data analytics, breaking down complex topics into skills anyone can master. With a background in pharma, biomedical informatics, and health disparities research, I design training that's both challenging and deeply relevant. Whether working with students or professionals, I focus on real-world projects that build confidence and expertise. Watching learners transform into skilled, agile Data Professionals is the best part of what I do.
Data for Wellbeing is your regular review into health data science and artificial intelligence, with a focus on health outcomes and disparities. I also share coding projects and articles on transitioning and / or up-skilling in Data Analytics.
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I specialize in healthcare informatics, health disparities, AI/ML in healthcare, and data-driven solutions for diabetes, cancer, and infectious diseases. I also provide guidance on data visualization, workflow optimization, and creating AI/ML algorithms primarily using tools like Python, SQL, Tableau, and R.
My services are ideal for healthcare and big Pharma organizations, data-driven companies, and professionals seeking expertise in informatics, data science, and health analytics. I also work with individuals and teams needing mentoring or support for specific projects.
Yes, every project is tailored to meet the unique needs of my clients. I work closely with organizations and individuals to identify goals and deliver actionable, data-driven solutions that address their specific challenges.
I use a collaborative and transparent approach, starting with a clear understanding of your needs and objectives. I then develop a strategic plan, leveraging the latest tools and techniques to deliver impactful results efficiently.
I primarily focus on the healthcare and pharmaceutical industries, with expertise in healthcare informatics, and health disparities / health equity. However, my data science and area of subject matter expertise, extends to various sectors, making my services versatile and impactful.
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