Xiong Wang

Google Certificated Professional Machine Learning Engineer with 5+ years of programming experience in Python, C#, VC++, and SQL database. Proficient in Microsoft Databricks Pyspark, Python programming, PowerBI report design, and Azure data explorer data query. Experienced working in an agile environment utilizing open-source tools such as Git, Docker, and Slack.

Self-starter with ability to work in a team and independently under pressure and stress. Stay with top-level technology with continuous self-learning and development. Great communication skills in both oral and writing and solid problem-solving experience.

Specialist Data Science at CN (2023-01 – Present)

• Data ETL/ELT from different sources into a target data warehouse or data storage
• Data Visualization with different tools, including PowerBI, Grafana, Databricks Dashboard
• Data Analysis with Databricks using different machine learning algorithms
• Applied LLM to solve different problems
• Built machine learning pipelines, deployed custom LLM chatbot models and integrated into UI

Analyst system and software integration at CN (2021-03 – 2022-12)

• Designed train dispatching simulator with python REST API, and web socket client and server simulator to simulate dispatching commands communication with dispatching system server
• Programmed data extraction, transform, and load from different sources into variant destinations, including stream logs into Azure Data Explorer with log stash
• Implemented Power BI report design to analyze data and provide data visualization
• Data training and prediction with Azure ML and Databricks

Control System Specialist at Martin W Electrical (2020-09 – 2021-01)

• Optimized control system avoided changing wiring on electronic board on site and getting board circuit short, enhanced safety and efficiency with new VFD to control pipe rolling
• Modified PLC program and HMI to meet customer's requirements and upgrade the control precision
• Redesigned panel circuit diagram and panel layout, hands-on wiring

Data Intern at Nanostics (2019-11 – 2019-12)

• Build script with Python record machine learning parameters and predictions result into a database with sacred, mlflow, airflow package and extract data from database for further reanalysis, completed the task ahead of expectation
• Learned machine learning frameworks including Sacred, Mlflow, Airflow, Kubeflow, and Kubernetes

Control Software Manager at YAC Systems PTE Ltd (2013-08 – 2018-08)

Control System Engineer at Knowles Electronics Co Ltd (2010-01 – 2013-08)

Electrical Engineer at Jingcheng Heavy Industry Ltd (2009-03 – 2010-01)

Master's degree in Information Technology – University of the People

Certificate in Instrumentation – Northern Alberta Institute of Technology (NAIT) (2020)

Certificate in Software Development – Southern Alberta Institute of Technology (SAIT) (2019)

Master of Science (MSc) in Chemical Processed Machinery – Liaoning University of Petroleum & Chemical Technology (2005)

Bachelor of Science (BSc) in Mechanical and Electrical Engineering – North China University of Science and Technology (2001)