I'm a passionate Data Science & Business Analytics graduate from the University of London, currently based in Singapore. My goal is to continuously explore and excel in the realms of Data, Machine Learning, and Artificial Intelligence. I am dedicated to leveraging data-driven insights to solve complex problems and drive impactful decisions.
Feel free to scroll down and explore some of the projects I have completed. Each project showcases my expertise in data analysis, problem-solving, and utilizing cutting-edge technologies. If you'd like to learn more about my background and experiences, click the button below!
Conducted in-depth analysis, summary and prediction on big flight data using both Python and R programming languages. Utilised Machine Learning to predict flight delays, accompanied with a 10-page article report.
Algorithms: Random Forest, Multiple Linear Regression, Logistic Regression Python Report R Report — [Individual Project]
Experienced in implementing Supervised & Unsupervised learning for analysing datasets in R such as Survey Results, Student Performance and Bank's Client Subscription rate, accompanied with a 10-page article report.
Algorithms: PCA, K-Means, Decision Tree (CART), Random Forest, Linear Regression, Logistic Regression, Ridge Regression GitHub — [Individual Project]
Produced a comprehensive Market Research proposal for the client (Lego), including Statistical Methods (2-way ANOVA, Focus Group, Paired T-test, Contingency Table, Multiple Linear Regression) and a Questionnaire survey.
Market Research Proposal — [Individual Project]
Experienced in developing analytical frameworks using ML/AI solutions to detect anomalies, especially for predictive maintenance and condition monitoring.
Algorithms: One-Class SVM, LOF, K-NN, K-Means, Isolation Forest, Mahanolobis Distance, Time Series analysis etc.
Extensive use of Tableau to extract commercially important insights from 24 variables (consumer, product and shipping info), creating a collection of dashboards into stories, accompanied with a business report.
Programming-wise, also proficient in libraries such as plotly, matplotlib, ggplot and seaborn. Tableau Public — [Individual Project]
BOXVERSE - Top 10 Finalists (Top 10%) of FPG's first-ever Food, Innovation & Technology (FIT) Hackathon in 2021.
As the project leader, I led a team of 3 to develop a visual analytic tool that aimed to help assemblers sort products by size. Pitched to relevant professionals, including Minister, Mr Masagos, & Member of Parliament, Seah Kian Peng (pictured), and NTUC FairPrice's Corporate Communications Director Jonas Kor (pictured).
There's more I'd like you to know about me too! :)
To explore the tech world of Data Science, Machine Learning and Artificial Intelligence, while also focusing on personal growth and development.
To create and collab on more projects.
Python (e.g. Pandas, NumPy, Seaborn, Matplotlib, Sci-kit Learn, TensorFlow, Plotly)
R (e.g. tidyverse - ggplot, dplyr)
SQL, Tableau, MATLAB, Git & MS Excel (VLOOKUP).
Currently working on Deep Learning,
Computer Vision, SPSS and HTML.
· Regression (Linear, Ridge, Logistic)
· Decision Tree
· Random Forest
· K-NN
· SVM
· PCA
· XGBoost
· K-Means
· Lasso
· Isolation Forest
· Mahanolobis Distance
· Travelling & exploring
· Editing & photoshopping pictures
· Music
· Drawing & painting
TMI: it's also my 17th year playing the saxophone!
Please feel free to contact me via links below
for any job opportunities in the future.