Implemented the Restful API with Java Spring, retrieved transaction data from database and converted to RFM model

Processed the data and used different methods to segment the customers including K-means and Fuzzy C-means model

Used BG/NBD model to analyze and predict customer behavior with an accuracy of 80%, calculated customer value based on results

Stored and trained data with GCP BigQuery and used Spark to accelerate the training process, reducing the training time by 90%

Use Airflow to host the system and automatically sending reminder emails to recall lost customers based on prediction results

Utilized AlphaZero to train a Gomoku agent and eventually reached the level of human control

Scraped image and text data from the Internet, preprocessed the data, and built an inverted index

Utilized ResNet50 and Word2Vec to train and classify 100,000 photos with keywords and reached an accuracy of 82%

Implemented a Photo Search Engine via Flask and the deep learning model to get corresponding image results by entering keywords