Stephen Rayner Email & Phone Number

I worked as a secondary school maths teacher for two years, but I realised that I wanted a job where I could use the full extent of my knowledge.I had worked with python and matplotlib on a university project which involved investigating 5 different variables to find correlations and key transition points of a physical system. I became captivated by the power of computers to illuminate properties of large amounts of data that are not visible by purely perusing values in a table. When I combined my knowledge of maths with my newly acquired skills in python programming, I arrived at data science.From my time training as a data analyst at AiCore, I have gained a wealth of knowledge and experiences that have made me capable of rigorously analysing data with a variety of tools. Such as using regular expressions and string methods in python to clean messy columns, to querying an SQL database with 5 dimension tables and creating 9 complex measures in Power BI. I currently enjoy learning more advanced techniques (such as machine learning models in scikit-learn) for spotting patterns and properties in data.From my teaching roles, I have vast experience of being organised. I have been able to reflect on the clearest ways of communicating information, combining auditory and visual communication and supplementing explanations with examples. I always went above and beyond in order to make a positive difference. For example, creating a booklet of 72 exam questions with model answers, creating online learning resources and summaries of subject material.I am the kind of person who keeps thinking about a problem until I find a solution. I am also the kind of person who likes to evaluate the efficiency and elegance of a solution and improve it if possible. I even prefer to solve a problem in a more challenging way if it makes the solution more robust or comprehensive rather than opt for a simpler, but fudged solution.Skills:python, pandas, matplotlib, object-oriented programming, SQL, Power BI, AWS, Azure, command line, VScode, extract, transform, load, data analysis, data visualisation, statistics.