Sheffield Hallam University
MSc Big Data Analytics 2020-2021
Worked with the software languages of SAS, Python and R to create solutions to a variety of Business Problems.
Practised Statistical Concepts using SAS to understand and create business focused solutions through a variety of different case studies
Developed Study Skills and Practiced Creative and Concise Writing toward an ethical topic
Undertook A Business Case study creating artefacts suitable for a business
Developed a Python based Recommendation service, making use of Design specific choices for successful implementation
University of Hull
Bachelor’s in Computer Science 2017-2020
Attended the University of Hull for my Bachelors in Computer Science.
Over my time there I worked on many different topics and learnt many languages
(C#, PHP, Python, SQL, HTML, CSS and JavaScript).
Modules Studied Include:
Data Mining
Visualisation
Mobile Devices
Database techniques
System Analysis and Design
Information Systems and Web Technologies
Agile Software Development
Practised Deep Learning methodologies on a large data sample, to understand and create Sentiment Analysis modelling solutions to achieve a topical understanding of Sentiment within Noisy Social Media data
Use of technology to understand and visualise data solutions to provide client feedback with the aim to show market information such as product growth and areas for improvement
Broad understanding of System Design and implementation
Product development team building experience, focused on Agile methodologies to meet client needs within a specified / suitable timeframe to achieve client satisfaction
Regularly practice conscious control over amount of time spent on workload, maintain time efficiency within all aspects of study and work to keep to and adhere to strict deadlines
Aarhus University
Business Intelligence through Web Analytics and Data Mining 2020
Worked within a team using Data Mining fundamentals and methodologies targeted toward business strategies
Practised the statistical approach of Exploratory Data Analysis to analyse data sets in a practical setting
Developed a report showcasing techniques to find business solutions through the CRISP-DM methodology using K-Nearest Neighbour, SVM and Neural Networks solutions