Ping Duan

Experienced Technologist with a demonstrated history of working in the oil & energy industry. Skilled in Process Control, Root Cause Analysis, Machine Learning, Data Analytics, Python, R, Matlab,. • 10 years of industrial and research combined experience of machine learning, data historian systems (OSISoft PI, Honeywell PHD) and control systems (APC, SCADA, Hydraulic model, DCS) • Experienced on design and implement of Intelligent control systems including APC and HMI • Strong understanding and extensive experience of machine learning and statistical modeling techniques including regression models, Neural Networks, XGBoost, Bayesian Network Inference • Skilled in data preprocessing techniques, data-driven system prediction, and optimization approaches including gradient descent, Simplex, dynamic programming, Greedy algorithm, GA, PSO, DE • Experience of data analysis and visualization tools including Python, Spotfire, SEEQ and Power BI • Capable of supporting a complex multi-tiered High Availability (HA) PI environment (120+ PI nodes) • Experience with relational databases including SQL server, oracle and SQL language