Machine Learning Engineer with a master’s degree in physics, who recently completed my thesis on developing deep learning networks for the healthcare industry, using tools like Python, Keras and MATLAB. Currently obtaining a certificate in Machine Learning with Springboard, growing my skills further in data science and machine/deep learning techniques.Finished my master’s degree in physics, where I wrote an autoencoder deep learning network to reduce ring artifacts in CT-scans. These are visible rings that overlay the CT-scan, which may cause trouble in the analysis of the scan. The developed network is able to reliably reduce these rings significantly without the need to tweak parameters, making it easier to use than traditional reduction methods.Finished a deep learning engineer certificate, where I’m developing a content-based music recommendation system, based on the audio-features, genre and lyrics of songs.2 years hands-on experience with Python and 3 with MATLAB.Keywords: Machine learning, Deep learning, Python, Tensorflow, Keras, MATLAB, SQL, Data wrangling, Visualization, ETL, Linear regression, Logistic regression, Bayesian statistics, Naive Bayes, K-nearest neighbors, Support vector machines, Decision trees, random forests, Anomaly detection, PCA, Recommender systems, Time-series analysiscontact: robincools1@gmail.com