Portfolio Tyrone

Data Science Projects

Project 1: Feature Engineering Home Selection

• Created new features using Python from raw data that influence price negotiations while buying a house.
• Utilized Feature Selection to choose the most significant influences from 79 numerical and categorical features..
• Aggregated and visualized the data by using pandas, matplotlib and seaborn to compile a professional reportn.

Project 2: Health Care Cardiovascular

• Preformd Data Wrangling & Cleaning with panda on data to prepare Cardiovascular reports and utilize data in perdition models..
• Prepared Exploratory Data Analysis reports with Python concerning the distribution of Cardiovascular disease and related factors.
• Created Machine Learning Models to predict risk of heart attack using logistic regression & random forest comparing the results..

Project 3: Comparative Study of Countries: Life Insurance

• Created a dashboard with Tableau that compares income, life insurance ratio of reinsurance acceptance, & retention..
• Created an interactive geographic map showing various countries according to income and data from the world bank webpage..
• Created KPI Tools to report by specified year and market share.

Project 4: Health Care (National Institute of Diabetes and Digestive and Kidney Diseases)

• Data Exploration: Utilized Python and SMOTE to prepare, display, and understand the data for perdition models.
• Data Modeling: Utilized PyCaret and Logistic Regression to build predictive model sfor the causes of diabetes..
• Data Reporting: Utilized Tableau to create a dashboard with appropriate chart and metrics visualizing the causes of diabetes.