As part of our learning process in NUS Fintech Society, my team embarked on a project to predict the Adjusted Close price of the Dow Jones Industrial Average using news headlines. The concepts we explored in this project include: Jaccard Similarity Coefficient, Sentiment Analysis and Long Short-Term Memory (LSTM).

Tried my hand on web development by building a book review website. Users are able to register, log in & out, search for books, leave reviews, see other people's reviews and the books' Goodreads ratings. Utilised the Flask and Bootstrap frameworks.

I participated in the virtual program to gain more knowledge of how data is utilised in banks. Using R to produce various charts, I produced a report on transaction, customer, and merchant insights from an ANZ dataset. In addition, I explored correlations between customer attributes and build regression and decision-tree prediction models based on the findings.