Final Year Project
Roehampton University
London
2024.06 - 2024.08
- Developed a machine learning model to predict cryptocurrency price movements using historical market and sentiment data.
- Predicted cryptocurrency market prices using data mining and AI techniques, improving forecast accuracy by 90%.
- Cleaned and analysed large datasets using Python, Pandas, and NumPy to support data-driven decision making.
- Built predictive models and evaluated performance using data mining and machine learning techniques.
- Applied algorithms such as KNN, LSTM, moving average, and linear regression, conducting correlation analysis and splitting data into testing and training sets to achieve optimal RMSE values.
- Created dashboards and visualizations using Tableau and Power BI.
- Executed project activities to ensure successful outcomes.
- Provided technical insights to senior management, facilitating project support and informed decision making.