1. Reduced doctor appointment no-shows for a public healthcare company by applying data analytics and visualization techniques utilizing python programming language. 2. Identified key factors impacting doctor appointment no-shows and determined correlations betweenfactors such as absence rates and age of the patient, day of the week of the appointment, patients who received SMS reminders, patients with hypertension and diabetes as opposed to other ailments to understand and recommend methods to reduce appoint no-shows.3. Utilized key data visualization concepts and libraries in python such as matplotlib to facilitate key visualizations as part of client recommendations.