Data Science Fellow
Central Coast Data Science
Santa Barbara, California, United States
• In the Fall 2020, I learned basic machine learning algorithms such as Linear Regression, Random Forest, Decision Tree, Support Vector Machines, Clustering, and K-anonymity. Course discussed the ethics of data science in specific industries and domains of research. • Capstone course from Winter 2021 to Spring 2021.• Project group worked with project sponsor Santa Barbara research organization Sansum Diabetes Research Institute • Analyze, clean and find correlations with extensive dataset on Excel including 5 including biological, environmental, biological, behavioral, psychological, and societal/environmental health markers. - Link to course website with Sansum Project Updates: https://ucsb-ds-capstone-2021.github.io/welcome.html