I am experienced in Data Science / Health Data Science / Machine Learning / Computer Vision. I'm currently building on a few machine learning projects. I aspire to do software engineer work as well, and am currently learning C/C++.
A one-year-long project that uses state-of-the-art objection detection machine learning tools, including YOLO, RetinaNet, Faster R-CNN, on breast cancer imaging. Currently I am implementing baseline CNNs to first detect benign/malignant images. Ideas that are going to be tested are FPN, Focal Loss, or Non-Local Network.
Performed data analytics work on patient data collected by a novel device designed by our labImplemented the whole data processing cycle using MATLAB and Python, including data pre-processing, time-series data alignment, data cluster analysis, classification, visualization using Python widget, signal processingUsed AWS cloud to store large patient datasets; Using S3 and EC2 to organize data and work simultaneously.
GPA: 3.9
GPA: 3.878
I'm interested in solving data science and machine learning works. I've done a couple of projects using machine learning framework, and also took charge of a few data analytics projects in research lab.