Education:
PGDip Data Analytics, Queen Mary University of London, United Kingdom 2021-2022
• Financial Data analytics and Storing, Manipulating, and Visualising Data furthered my proficiency in R, Python and SQL, also giving me the opportunity to learn to manage large Datasets in Microsoft Excel
• Machine Learning with Python and Advanced Machine Learning gave me proficiency in python programming as well as learning a variety of machine learning algorithms and implementing them on large datasets
• Time Series Analysis for Business advanced my R programming knowledge and taught me to implement different techniques in analysing datasets and forecasting future data
• Dissertation/thesis centred around developing techniques for inflation forecasting, advanced my research skills and promoted a specialisation in data cleaning in Excel and SQL, visualising data, and building personalised models for large data
BSc Mathematics with Statistics, University of Surrey, United Kingdom 2018-2021
• Independent Literature Review on Kernel Density Estimation, gaining experience in research
• Professional skills development module taught me MATLab, some Excel skills, report writing, collaboration on projects, project management and detailed presentation on a pre-assigned topic, peak oil
• General Linear Models introduced me to statistical modelling and obtaining regression models from a set of data in particular. I also learned preliminary R skills
• Numerical and Computational Methods allowed me to understand computational expenses and some methods in mitigating these issues
Skills:
• R
• Statistical Analysis
• Microsoft Excel
• Machine Learning
• Python
• Project management
• SQL
• Data cleaning
• Data modelling
Additionally:
Meticulous graduate accomplished in compiling, transforming, an analysing complex information through software. Proficient in forecasting methods and large dataset management. Recently completed a PGDip in Data Analytics after graduating with a BSc in Mathematics with Statistics. Currently on a transferrable family visa.
