o Developed a convolutional neural network (CNN) to detect and classify defects in QA images using Python (Keras, TensorFlow, OpenCV) detecting defects with 95% accuracy.
o Created machine learning models (Random Forest, K-NN, SVM) to predict the wear of refractory brick lining in industrial furnaces using R (CARET), reducing maintenance costs.
o Developed a MATLAB script which read in a client’s furnace temperature data, identified, calculated, and plotted the average peak temperatures of the furnace over time.
o Located areas of critical wear on a nuclear reactor, clustering flaws by severity using PCA.