Machine Learning Engineer at InSite Health. I specialize in data research, machine learning algorithm optimization, text and audio classification, API implementations, applications testing, and AI integration.
Analyzing and predicting California housing prices using census data from 2009-2020, alongside machine learning models such as Linear Regression and Random Forest to examine the differences in accuracy/variation, as well as predicted prices of a potential house in California.
C++ program that creates a graph using customized classes with basic properties as well as returning the shortest paths from parameterized nodes using different algorithms.
Bridging the gap between older folks and mental healthcare with machine learning.