Lee Ming Xiang
I am Malaysian Chinese, who speak multilingual including Mandarin (native), English (proficient), Malay (moderate), Hokkien and Catonese.
I am currently working as Data Analytics Engineer at SLB, with Petroleum Geoscience background and Master in Data Science. I am deeply enthusiatic in developing data science solutions for oil and gas industry.
👉 MLee27@slb.com / mingxiang1006@gmail.com
Skills and Qualifications
- ✔️ 2 years experience in Machine Learning,Natural Language Processing & Data Analytics.
- ✔️ 3 years experience in seismic data processing.
- ✔️ Experience in Python programming and cloud deployment.
- ✔️ Technical committee for several machine learning hackathons.
- ✔️ Volunteer speaker for Woman Who Code Event.
Tech Stack
Python, C++, HTML, CSS
Streamlit, FastAPI, Docker, Micrsoft Azure
Delfi, Dataiku, Cognite Data Fusion
Tibco Spotfire, Power BI
MySQL, Oracle, Postgres
Petrel, Omega, Hampson-Russel
Work History
🚀 DATA ANALYTICS ENGINEER | KL INNOVATION FACTORI, SLB
06/2021 - Present
Worked on multiple projects related to Subsurface, Production & Drilling domains:
1. Natural Language Processing (NLP):
- Developed and deployed webapp to automatically extract insights from Daily Operation Report remark section.
- Involved and mentoring to build oil and gas language model using transformer.
- Involved and mentoring to identify near miss drilling event from Daily Drilling Reports.
2. Machine Learning & Data Analytics:
- Applied cross domain pattern recognition to identify the relationship between petrophysical properties and production potentials.
- Developed and deployed diagnostic analytics dashboard to identify overperforming and underperforming wells based on well production properties.
- Developed predictive analytics dashboard to calculate platform CO2 emission based on prediction of gas fuel rate.
3. Programming:
- Developed seismic auto converter from SEGY to DIO & DIO to SEGY format using C++.
🚀 GEOPHYSICIST | GEOSOLUTIONS, SLB
03/2018 - 06/2021
Worked on multiple seismic processing project in both shallow and deep water surveys.
- Processed seismic in Offshore Australia, India, Gabon, Malaysia & Myanmar.
- Worked on seismic interfrence noise removal, demultiple, denoise, seismic to well tie.
- Worked on seismic interpretation including water bottom, fault and horizon picking.
- Developed and deployed analytics dashboard in streamlining Adaptive Deghosting testing efficiency by saving ~70% of man hours and cost.
Publications & Accomplishments
🏆 Business Impact Award for 2021 SLB Asia Sustainability Hackathon.
🏆 SEG Kuwait Workshop: Imaging multi-order multiples - Shallow Water Case Study from South East Asia.