Experience with Machine Learning algorithms such as Penalized Linear Models, Random Forest, Gradient Boosting Machines, Neural Networks, andor experienced with Deep Learning frameworks (Tensorflow, Pytorch, Keras) and modern architectures such as Resnet, Densenet, U-net, GAN