To improve the adaptability of Large Language Models (LLMs) by examining and optimizing the storage paradigm within autoregressive transformer models. The emphasis is on pinpointing and editing the…

Trained GNNs to classify COVID-19 severity level by modeling states and borders in India as a graph. Combined semi-supervised learning with pre-pandemic census information such as foreign visitor c…

Studied rapid growth of the Asian American Community using R and ggplot; Used D3 to build an interactive graphic, and implemented data analysis to obtain trends & patterns between social & health i…

Built machine learning and time series forecasting model with extensive pre-processing & feature engineering. Leveraged Decision Tree to predict radio link failure given weather forecast conditions…

Developed recommendation pipelines leveraging content-based and collaborative filtering to present top n customer recommendations from user items and customer purchase histories. Alternatively, ima…

The objective of this project is to analyse and select the best locations in the city of Kuala Lumpur, Malaysia to open a new shopping mall. Using data science methodology and machine learning tech…

The most predominant non-verbal communication method used to understand the mentality and the emotion of a human being primarily revolves around facial expressions, gestures, and body language . As…