Instructor, Data Science Immersive Course @ General Assembly
Data Scientist @ carwow
Education:
@
University of Cambridge
About:
Data Scientist @ Using Python for predictive modelling and analysis From November 2015 to Present (2 months) London, United KingdomData Science Fellow @ Intensive course for PhD scientists transitioning to data science roles with training in SQL, Hadoop, R, Machine Learning, Python, relevant statistics, and business practices. Includes project work. From August 2015 to September 2015 (2
Data Scientist @ Using Python for predictive modelling and analysis From November 2015 to Present (2 months) London, United KingdomData Science Fellow @ Intensive course for PhD scientists transitioning to data science roles with training in SQL, Hadoop, R, Machine Learning, Python, relevant statistics, and business practices. Includes project work. From August 2015 to September 2015 (2 months) London, United KingdomPostdoctoral Researcher @ Continuing in the same research group with two scientific papers submitted from this work. From October 2014 to July 2015 (10 months) PhD Student (DPhil) @ First year 2009-2010 part of the Doctoral Traning Centre on interdisciplinary research in the physical and life sciences. From October 2010 worked in the laboratory of Dr Richard Berry on a new method for single-molecule studies of lipid-embedded transmembrane protein ATP synthase. Programming in Matlab for analysis of large datasets recorded at up to 100k frames per second; data filtration, pattern finding, and combined computer-based and manual interpretation. Developed and filed two patents in optics. Experimental work with proteins and microscope-building. From October 2009 to September 2014 (5 years) Oxford, United KingdomCollege Tutor for Physics @ Tutorials for second-year physics undergraduates in Optics, and Electricity and Magnetism. From January 2012 to June 2012 (6 months) Oxford, United Kingdom
Doctor of Philosophy (PhD), Experimental Biophysics @ University of Oxford From 2009 to 2014 MPhil, Micro and Nanotechnology Enterprise @ University of Cambridge From 2008 to 2009 MSci, Physics, 1st @ Imperial College London From 2004 to 2008 Aidan Russell is skilled in: Data Science, Machine Learning, Python, Data Visualization, Quantitative Analytics, Statistics, Data Analysis, Data Mining, R, Big Data Analytics, Teaching, Programming, Hadoop, MapReduce, Spark
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