Data Science & AI/ML Graduate
Building AI Solutions | Open to Roles
Preprocessed an imbalanced SMS dataset using tokenisation, lemmatisation and TF-IDF, comparing four classification models. Logistic Regression achieved 0.928 F1-score and 0.967 PR-AUC.
Processed 10k+ rental records, evaluating 5 linear and tree-based models for price prediction with feature engineering (R²=0.67), alongside K-Means clustering for market segmentation.
Preprocessed 400k+ transactions using Python and PostgreSQL, applying SQL CTEs and views to segment customers and analyse value and retention patterns. Used PowerBI for visualisations.
Conducted data-driven healthcare market research on Glassdoor and SingHealth, analysing job demand, salaries and skill gaps to identify workforce trends and support stakeholder's course planning.
Analysed 51k+ transactions over 4 years, built dashboards uncovering trends in sales, customer segments and regional performance. Identified key profit drivers and inefficiencies, with what-if forecasting.
You're on it now! Still a work in progress.
🚧 Singapore Artisanal Cheese Market Analysis (🧀 In Progress - data cleaning and regex handling ongoing) 🚧