May 2016 - Present
i. In charge of defect image of data augmentation task implement and deliver data. I've hands-on experience on building Generative Adversarial Network, many solution for various situation, to build apporpriate model for task.
ii. Abnormal machine signal classifition and detection. I build apporpriate model for task whether training data has abnormal signal or not, i.e classification model or health model.
iii. Administrator of Engineering Data Analysis system. I co-work with multi-functional teams to manage project scope, known their requirement and current difficulty, and guide end-user to establish their own analysis flow, thus reducing and replacing many daily manual analysis processes. In the meantime, i have experience on In-house user training too.
iv. ETL for Tableau. I write python script on pyspark to summary daily output, machine error code, quality checking data, and pass it to Tableau for visualization.
v. Unscheduled AI and statistical education and training for production line person and engineers.