Industry Hackathon - In my penultimate year, I took part in Shopee's Code League Hackathon 2020 which was for the first time completely held online due to the novel coronavirus situation. The challenge was held over the course of 8 week where there were 8 challenges that overlapped each other in the field of data science, machine learning, data analysis and natural language processing. [Link](https://careers.shopee.sg/codeleague/) to the hackathon page.

Personal Project - The goal of undertaking this project was 3 prong. (1) Apply my knowledge in A* Path Finding algorithm,(2) Structure the code with Object Oriented Programming(OOP) technique and (3) Document the process with software architecture design. The project was built with Python and utilised the Python package PyGame to build the visualisation. Screenshot of the A Star Path Finding Algorithm Program Project Table of Contents: A* Path Search Algorithm Overview Usage Viewing Files in this Repository Lessons Learnt and Conclusion Acknowledgment .

Personal Project - As graduation approaches, I decided that it would be beneficial to get an overview of the Data centred jobs in Singapore. Therefore, I decided to scrap the popular job site, Glassdoor, to gather data on the jobs on the market and have the bigger picture of the job market.

Personal Project - I undertook this project during the start of the penultimate year summer break to hone my knowledge in statistics and analytical thinking. Key Results: Identified features with statistical hypothesis test such as ANOVA, Chi-Sqaured Test and Bonferroni Method with R. Achieved 75% prediction accuracy on Kaggle Competition with Gradient Boosting Classifier algorithm in Python.

Industry Attachment Project - This project was my university industry attachment with PSA International PTE LTD in conjunction with two university modules: (1) Statistics and (2) Manufacturing and Supply Chain Operations.

Industry Attachment Project - This project was my university industry attachment with TSH Synergy PTE LTD in conjunction with university modules: Data and Business Analytics. By creating a Business Intelligence Dashboard and Data Analysis to expedite the identification of possible bottlenecks.

University Academic Project - This project was an academic project for my first programming module in University. The project utilised electrical engineering knowledge alongside Python programming knowledge to develop a product that consists of a Graphical User Interface(GUI) where users can interact with to gain information on the crowd in the elevator. And a electrical circuit system consisting of trip wires and ultrasonic sensors to allow us to derive the flow of users of the elevator and the floor on which the elevator is serving