• Three years of experience in machine learning and deep learning algorithm models. During the internship, the projects were mainly in the field of CV, involving video super-resolution,video recommendation and medical image segmentation. Familiar with CNN, GAN, ResNet algorithm and related variants, able to use TensorFlow to build deep learning models; The contribution made to the project during the two internships was recognized by the leaders, colleagues and customers, so won two chances to become a regular employee.• During formal work, mainly responsible for or participate in projects in the three fields of precision marketing, recommendation system and financial risk control; Proficient in Xgboost, LightGBM, LR and other general machine learning algorithms; Understand the principle of collaborative filtering, Wide&Deep, DeepFM and other algorithms in the direction of recommendation system, and have relevant project landing experience; Have been exposed to the application of graph database related technologies in marketing algorithms or recommen-dation systems, and have practiced based on Neo4j or Nebula Graph; The annual performance evaluation was excellent during the in-service period.• Love sports, have good communication and team cooperation ability, during the period of school served as school basketball team captain won several the championship, and gained the MVP award; Passionate about the algorithm industry, with strong self-drive, and attention to detail.