The aim of this project is to analyse and predict data from tweets by individuals who have an extremely large amount of followers on Twitter, we set out a task to investigate and explore these tweets against any possible correlations that would reflect in the historical prices.
Our second task was to obtain tweets from regular users who constantly or periodically tweet on our chosen five memecoins which include Dogecoin, Dogelon, Shiba Inu, Monacoin, and Samocoin. We are also cross-examining the sentiment of the tweet and how it reflected on the prices of the memecoins.
As a person who is extremely interested in how the new age of our potential financial systems operates, I wanted to investigate the possible foul play that cryptocurrencies with low market caps can be publicized, pumped, and dumped on potentially naive investors
Python & Jupyter Notebook, API, Web Scraper, Excel, TensorFlow & Tenserboard, Data Mining, LSTM, GitHub
Currently a full-time student on track for a 2:1. 8 months experience as an ICT Intern in Kerry Group, working on Data alignment with Optiva and SAP MDG.
Led and supported major projects which impacted different locations worldwide. Worked on the ServiceNow ticketing system. Strong interest in technology and how data is used and always open to learning new topics.
Have experience with many technologies including Python, Java, SQL, R, HTML/CSS/JavaScript, Microsoft Office Suite, SPSS, R Studio, Python, AWS and C#. Strong organizational and time management skills developed while combining part time employment with full time studies.
Hoping to pursue a career in Data Analytics.