I put together a team and took part in an online datathon organised as part of the 'Women in Data Science' conference. The datathon was hosted on Kaggle and involved analysing a dataset which contained demographic and behavioural information about a sample of survey respondents from India and their usage of financial services. The challenge was to predict the gender of each respondent. To do this, we were encouraged to explore the key differences in behaviour patterns between men and women, and how it may impact their use of these services. We built a machine learning model and managed to achieve 88% accuracy.View Project
The Center for Copyright Research of the University of Glasgow organised a hackathon centered around law and copyright themes. My team and I won the competition by constructing an automated system of gathering and examining evidence of how copyright protection (high or low) can impact creative production in the video game industry, using text mining and data analysis on a large corpus of creative goods found on online marketplaces.View Project
For my fifth year's research project I implemented algorithms that use statistical methods (Hidden Markov Models) for the analysis of the profiles and level of engagement of prospective students that participated in Open Days. The data on which the analysis was made was obtained from a mobile app designed by the company Bizvento. that can help researchers answer larger questions concerning the link between students' sociological profiles and their academic interests.View Project
As part of my fourth year of university, I did research on the state of privacy on social networks, particularly with regards to the accidental leaking of personal information. I developed a web application that revealed users' level of exposure on Facebook. Users could log in using their Facebook account and find out what potentially sensitive information is public on the platform and what they can do to protect themselves.
During my third year I worked on a team project to construct a web application that served as an interactive tool for learning about common cybersecurity flaws. It also provided tutorials (with lessons and quizzes) to teach programmers about good practices when developing applications.
Rewired organised a hackathon titled "Hack the Government" for which my teammate and I developed an app that would help people calculate the environmental footprint (CO2 production) of their travels by car, bus, train or plane. It used the Google Maps API and functioned as a directions tool while also offering information relating to the environmental cost. The information on environmental effects was obtained as part of the open data framework provided by the Scottish Government. The app won one of two prizes offered by the Rewired Glasgow team.View Project
I worked in a team project on an Android application for wearables during my fourth undergraduate year for the course Mobile Human Computer Interaction. We built a minimalist anti-distraction app for smart watches, that allows a user to keep track of tasks and time spent on them in a simple and reliable way. This app provides the user with the ability to set up tasks, time them, get reminded about them and also be able to track their progress.