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Kew Jing Sheng's Projects

finance_chatbot icon finance_chatbot

Using advance language model like GPT2 and advance words embedding to build a chatbot for banking service, focusing on answering questions raised by customers for banking services

instacart-market-basket-analysis icon instacart-market-basket-analysis

The objective of this project is to analyze the 3 million grocery orders from more than 200,000 Instacart users and predict which previously purchased item will be in user's next order. Customer segmentation and affinity analysis are done to study customer purchase patterns and for better product marketing and cross-selling.

instacart_customer_segmentation icon instacart_customer_segmentation

Complete framework on customer segmentation covering RFM analysis, Market Basket Analysis, Association Rule Mining, Unsupervised Clustering and Orders Prediction (Classification

reviews_summarization_anayzer icon reviews_summarization_anayzer

Perform summarization models, testing on both extractive and abstractive summarization. Extract text from PDF books, and then summarize the sentence from PDF books.

sentiment_analysis icon sentiment_analysis

Building multiple sentiment analysis models from CNN, LSTM to BERT for google play service reviews data.

text_spam_classification icon text_spam_classification

Create text classification model on defining whether the text is spam or not. Deploy the model using FastAPI

tfx icon tfx

TFX is an end-to-end platform for deploying production ML pipelines

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