Mike is a machine and deep learning expert with a love of problem solving, with over 5 years of experience solving complex data science problems.

Mike is a machine and deep learning expert with a love of problem solving. His background is in mathematics - winning an Institute of Mathematics and its Applications award for excellence graduating top of his university studies - as well as machine learning where he worked on a Ph.D. in applied mathematics and machine learning, collaborating with an industrial partner in complex anomaly detection.

With over 5 years' experience solving complex data science problems, his key skills include:

My key skills include:

? Mathematical and statistical modelling for predictive maintenance & classification problems
? Programming in Python, Matlab, SQL, including scipy, numpy, sklearn, pandas, keras
? Supervised and unsupervised machine learning
? Deep learning including CNNs, autoencoders, LSTMs
? Dimensionality reduction: PCA/SVD, multidimensional scaling, t-SNE
? Natural language processing, including nltk, word2vec, regex
? SQL databases including PostgreSQL
? Reinforcement learning
? Problem solving

Work Terms

Working hours are weekends and weekday evenings.