•Code the inventory planning and scheduling service of Huawei Inventory module, realizing optimization of the replenish rules between hundreds of inventories and 10,000+ warehouses and prediction of locator availability through logistic regression algorithm, and process 4,000,000+ transaction data per day in Malaysia and China region;•Carry out the “Meta ERP” project, supporting cloud-native technology architecture transformation and transform inventory services from monolithic architecture to Cloud Service Engine, including circuit breaker, load balancing, graceful shutdown and autoscaling mechanism, implement data migration from the Oracle database to PostgreSQL database , and launch 3 landmark services changes;

•Developed the autoseries project based on python to predict the offline sales of a Men's wear brand;•Optimized the baseline model of the autoTables project and improved the AUC evaluation index of running test data;•Realized the model integration of all-platform automation projects, which has been launched online;•Cleaned and analyzed the inventory data of logistics companies such as DHL, and used h2o and datarobot for inventory forecasting;

•Built a double-network-structure Reinforcement Learning Model based on DDQL algorithm to realize automated, trained the model using data from stocks of Shanghai Stock Exchange 180 Index from 2015 to 2020; •Built a convolutional neural network to establish a binary classification model, which can predict daily stock price fluctuations and give the trading actions suggestions; and the model obtains a recall rate of 84.3% and a Matthews coefficient of 0.714;