I passed my AWS - Machine Learning Specialty Certificate exam today.
Validation Number Z5C34M1B21B11C9V
Validate at: http://aws.amazon.com/verification or at CredlyClaim
Projects
.machine-learning
CycleGANs for simulated data synthesis
CycleGANs were used to synthesize new data from simulated data with lab test data distribution characteristics to address the sparse lab test data issue in my master thesis project
Physics Informed Neural Network
As part of my master thesis project, we developed our own novel architecture Hybrid Physics Informed Neural Network which works in tandem with a physics based flow solver to predict flowrates.
Uncertainty Measures with Bayesian Neural Networks
Bayesian Neural Network architectures MC Dropout and Bayesian Ensembling were used to quantify uncertainties in the restrictor predictions of the cabin air distribution system in my master thesis project.
ML for Air Traffic Management
Machine Learning works to optimize Air Traffic Management done for the 2-day ADS-B Hackathon at Toulouse
Deep Learning
These projects were completed as part of the Udacity Deep Learning Foundations Nanodegree program using an assortment of neural network architectures like MLP, RNN, CNN and GANs.
