Jones Wan
Senior Data Scientis and Quant Engineer - Trading and Supply Lob @Shell
Signup · Get unlimited contacts
WORK HISTORY
Senior Data Scientis and Quant Engineer - Trading and Supply Lob @Shell
London, GB
Full-stack machine learning models development and operation for gas trading:• Work directly with gas analysts to build packages and tools, examples include- A package to create html-formatted reporting- An API to push model forecast time series to in-house DB- Shell script in docker image to transfer environmental variables Python script inputs- A streamlit Web App to empower analysts to leverage forecast results- An API to read/write files of Azure blob storage- An API to request in-house price data• Architect automation processes for model training, performance tracking, and alerting model degradeRe-engineered the MLOps to accommodate Kubernetes infrastructure for auto scaling• Led the development and operation of the gas demand ML model, leveraging the Azure tool stack• Defined methodologies to forecast the short, medium, and long-term gas demand• Analysing model outcomes, providing actionable insights to stakeholders for decision-making• Stay abreast of cutting-edge technologies, adopting them to enhance model performance
EDUCATION
The Chinese University of Hong Kong
Doctor of Philosophy (Ph.D.), Physics
Massachusetts Institute of Technology
Big Data and Social Analytics Certificate
The Chinese University of Hong Kong
Master of Philosophy (M.Phil.), Physics
The Chinese University of Hong Kong
Bachelor of Science (B.Sc.), Physics
SKILLS
ABOUT JONES WAN
Design and Implementation: I create robust data analytics solutions for oil & gas and financial institutions; I oversee the entire development and implementation of machine learning solutions• Business Alignment: I translate business requirements into practical data analytics solutions with tangible benefits• Collaboration: Actively engage with domain experts and stakeholders to innovate in data science area• Delivery Focus: With a results-oriented mindset, I prioritize tasks based on immediate needs• Technical Proficiency: I’m hands-on with Python (pandas, scikit-learn statsmodels, seaborn, plotly), SQL, SAS, Matlab, machine learning, Databricks, ETL, and web frameworks (flask and Streamlit)• Data Expertise: My experience includes working with large datasets, conducting data analysis, and building predictive models• Project Highlight: My project experience includes time-series prediction, financial crime detection, payment and transaction monitoring, recommendation engine, process automation• Expert Management: I have experience in managing teams of data and modelling experts• Algorithmic trading : I develop, implement, and backtest algorithmic trading strategies
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.