Me

Summary

A senior data scientist with PhD and Post-doctoral in applied mathematics, high performance computing, geographic information systems, meteorology and climatology;

Expert in statistical and machine learning models, data mining, data base design, data driven web application development, Geographic Information Systems, climate change projection and climate change risk assessment;

Good knowledge in dynamical, numerical, network and agent based modelling approaches;

10+ years programming experience in Linux, Fortran, Matlab and C++, and 5+ years programming experience in Python, SQL, JavaScript;

Working experience with many Python packages for machine learning such as Scikit-learn, Keras, Tensorflow, NumPy, Pandas, Seaborn and auto ML such as AutoML and TPOT

Hands on experience with big data tools such as Hadoop/Mapreduce, PySpark, ELK, Tableau and Power BI;

Good knowledge in deep learning (DL) algroithms, natural language processing (NLP), image processing and cloud platform AWS and GCP.

Leadership skills to lead and deliver projects, be proactive, take ownership, interface with business, represent the team and spread the knowledge

Versatility and exciting to learn new things for job and hobby

Education

PhD in Applied Statistics (Climatology, Sep 1999-Jul 2002)

Nanjing University of Information Science & Technology • Nanjing, China

Master in Applied Statistics (Climatology, Sep 1993 – Aug 1996)

Nanjing University• Nanjing, China

Diploma in Meteorology (Sep 1981-Jun 1984)

School of Meteorology, Xian, Shaanxi