Nicholas Tidy, PhD

Nicholas Tidy, PhD has a diverse work experience. In 2014, they started as a PhD Student at UCL, where they produced detailed reports on research of new technologies and modelled data using Matlab. In 2015, they were a PhD Student at the Japan Advanced Institute of Science and Technology, where they developed an optical bench system and managed a £1,000 budget as part of a team of 4. From 2019 to 2021, they were a Senior Analyst and Inprotech Development Analyst at J A Kemp, where they enhanced efficiency within the company by developing a new automated billing system, coordinated the company's required transition for Brexit, identified and investigated any issues with the database, increased client transparency and communication, and designed and implemented A/B testing. In 2019, they were also an IT Support Officer at Zilico Limited. In 2021, they were a Data Scientist/Analyst at McWane Science Center, where they analyzed attendance data using pivot tables, collaborated with the Community Engagement team, and improved their skills in Python and SQL. Lastly, in 2022, they will be a Business Intelligence Analyst at Southern Veterinary Partners and a Spend Analyst Manager at Wood Mackenzie.

Nicholas Tidy holds a Doctor of Philosophy (PhD) in Physics from UCL, which they obtained in 2019. Prior to this, they obtained a Master's degree in Physics from the University of Birmingham in 2014. In addition, they have obtained various certifications from Dataquest.io since 2021, including APIs and Web Scraping in Python, APIs and Web Scraping with Python, Elements of the Command Line, Intermediate SQL for Data Analysis, Probability: Fundamentals, Spark and Map-Reduce, Command Line: Intermediate, Functions: Advanced, Kaggle Fundamentals, Machine Learning Project, Calculus For Machine Learning, Linear Algebra For Machine Learning, Linear Regression For Machine Learning, Machine Learning Fundamentals, Python for Data Science: Fundamentals Part II, Data Cleaning with Python, and Intermediate Statistics: Averages and Variability.