I am a master candidate in computer science and a Ph.D. candidate in Environmental engineering. I will graduate in December 2020.
My Ph.D. thesis research is creating full-stack Machine Learning models to predict real-time and day-ahead power outages caused by extreme weather to help the decision making of utility companies and improving the prediction accuracy.
Skills:
Fluent in Full-stack Machine Learning Model Development
Python, R, Tensorflow, Linux, Bash, High Performance Computing Cluster, GIS