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Showing posts from October, 2018

Business Intelligence Project

I was given a large and unstructured data set to clean, this cleaning took place in Microsoft Excel. The data set was in relation to product sales , and contained details such as product categories, shipping information, discounts and profit. Following on from this I created 2 dashboards, one for the sales manager and the other for the CEO. A number of KPI’s were developed for each individual, paying close attention to each component and purpose to each user group, adhering to a logical layout and a clarity of purpose. Sales Manager Dashboard Image CEO Dashboard Image Here is the Qlik file for the project  Grade - 73%

Web Services Development Project

A place where people with an interest in the fitness industry can share details about their favourite workouts amongst other users of the forum. This is a Node.js based restful API which included significant advanced data persistence . It makes use of messaging i.e. when a user posts their favourite workout, a message is published to Pub Nub. Users can ad d a comment on another user’s workout (perhaps providing them feedback, increasing the social element of this project). The data is handled through MongoDB and Mongoose (This is an object modelling tool used to work in an asynchronous environment).   Unit testing of the API is achieved using Mocha, Should and SuperTest, with a report automatically generated by Mochawesome after each test has concluded. The combination of custom validation and unit testing increases the validity of posts. Security/Authentication: 2 users are added to the forum when the server starts up, upon registering they are given a JSON web token usi...

Final Year Project

A research project with the purpose of investigating the perceived data privacy and ethical concerns that arise, due to the rapid development of geo location enabled technologies. This research described how students react to the advancement in location aware technology. The results of the survey included significant statistical analysis using SPSS to test my hypotheses. The findings of my research were formally presented to four senior lecturers. My final year project was also nominated for an award in conjunction with Sun Life Financials. The full research project can be viewed in the link below.                            Grade - 72% Here is a link to the full thesis

Adobe Certifications

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