Okenwa Oke

About Me

Education

Data Science 2022 - 2023

California Institute of Technology

Completed an intensive and interactive Data Science bootcamp that covered key topics including Python and R programming, Machine Learning, Deep Learning, and Data Visualization tools. The program offered live sessions led by global practitioners and hands-on experience in practical labs, providing me with valuable skills and knowledge in this field.

University of California Irvine 2017-2022

Public Health

Work & Experience

Data Science Student

California Institute of Technology

08/20/2022 - 02/09/2023

Prioritized, managed, and delivered broad range of projects with details illustrated as follows: Projects: Customer Service Request Analysis  Conducted data analysis of service request calls from NYC.  Understood pattern in data and visualized major types of complaints by utilizing data wrangling techniques. Cardiovascular Prediction  Carried out comprehensive data analysis of individuals' health records in a given dataset.  Identified the underlying causes and factors associated with cardiovascular disease based on the dataset.  Conducted detailed analysis of how these factors affect cardiovascular health independently.  Developed classification model by utilizing Logistic Regression and Random Forest algorithms to predict the probability of a heart attack. Real Estate Case Study  Conducted data analysis on monthly mortgage records of various families based on geographic location.  Utilized monthly family income and real estate rental value to identify potential monthly expenses across different regions.  Developed linear regression model to predict total monthly expenditure for home mortgage loans at both national and state levels.  Designed interactive dashboard using Tableau to showcase key metrics, such as number of loans, average rental income, monthly mortgage and owner's cost, and family income vs. mortgage cost comparison for different regions.