Projects
Welcome to my Projects page. Below are projects that I created by implementing my Data Science skills. There are a few projects that I worked on as a team and there are some I did as an individual. This is a pathway through my experience of Data Science, starting off with some sketchy coding and visualisations which day by day I was able to improve as I improved my skills. I hope you enjoy! If you have any questions, feel free to message me on the 'Contact' page. Enjoy!
London Crime Rate in 2011
Individual Project - November 2019
Being born and bred in London; rocketing crime figures is something that is always concerning. According to finder.com there have been over 910,000 crimes reported across London between February 2018–2019.
My research question was: Does a particular crime occur during a specific time of the year? My dataset was large, so I refined it to the year 2011 of London Riots. I carried out several tests and continued to use eli5 test as it showed there the time of the year and borough does have an affect on the frequency of crimes that occur. I then moved onto doing a 3 way split train test validation, created data visualisations and Shapley to help me answer my research question.
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Africa’s Economic, Banking and Systemic Crisis Data
Individual Project - November 2019
Does the Exchange Rate of USD$(United States Dollar) have an effect on Inflation Annual CPI(Consumer Price Index) Rates, which in turn cause a Banking Crisis?
I did some Data Wrangling and created different data visualisations, such as a heat map to show the correlation between all the variables such as Exchange Rate, Banking Crisis etc. I then concentrated on the year 1996, creating a Choropleth of the exchange rate and external debt in Africa. I did a train test split on the subset, where banking crisis was my target to predict. I used decision tree classifier, one hot encoder and feature selection to refine and improve my test.
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Medical Cabinet - Cannabis
Team Project - January 2020
This is an application designed to help patients seeking medical treatment through the use of cannabis. Using a prediction model, it will interpret the words entered and return the top five indices from our sql database.
I worked on helping a team mate clean the data and then moved onto the SQL to return specific information about the different strains, example its type, rating, positive and negative aspects etcs. This was then implemented into a python file where we created class’s for the Strain and Cannabis into a Flask framework.
The backend was successfully deployed but was not connected with the front end by the end date. In the future,
I would like to see this deployment occur.
Quarantine Camp
Team Project - April 2020
The aim of Quarantine Camp was about building an interactive Multi-User Dungeon (MUD) client and server in groups. A MUD...is a multiplayer real-time virtual world.
We was to provide new actions for players, display world info on a professional client site, and run the world's server on a hosted site to allow multi-player functionality.
I worked with Django framework for the first time and set it up smoothly. As a team we then worked together connected rooms to our server, creating classes that allowed navigation between the rooms whilst connecting them, allowing the players to enter and exit each without any issues.
We had a few issues with deploying and this is something that I would like to look into next time and make sure the project can successfully be deployed.
