Conducted text mining, sentiment analysis, and topic classification for media trends.

Developed ETL pipeline to stream metadata from social media platforms.

Credit Risk Forecasting: credit limit and default rate forecasting

Knowledge Search System(CV + NLP): optical character recognition(OCR), question-answering, machine reading comprehension(MRC), learning to rank(LTR), multi-label classification

Personalization App(Reinforcement learning): Thompson sampling for the cold-start problem recommendation

Other POC ML & Eng projects: data augmentation(imputation, web-scraping), automatic reporting and dashboarding, real-time tracking system(IoT in healthcare)

Introduction to statistical and critical thinking

Introduction to Probability and Statistics

An introduction to computational data analysis

Resolved multicollinearity issues in mediation analysis to enhance model validity and interpretability.

Recommended and applied nonparametric Wilcoxon testing for evaluating Compassion Cultivation Training Questionnaire responses, addressing non-normality in the data.

Supported medical research by conducting meta-analyses, including effect size estimation, heterogeneity testing, and synthesis of results using established R packages.