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| <title>Lee Ming Xiang</title> | |
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| <h1 id="user-name">Lee Ming Xiang</h1> | |
| <p id="bio">I am Malaysian Chinese, who speak multilingual including Mandarin (native), English (proficient), Malay (moderate), Hokkien and Catonese.</p> | |
| <p id="bio">I am currently working as Data Analytics Engineer at <a href="https://www.slb.com/" target="_blank">SLB</a>, with Petroleum Geoscience background and Master in Data Science. | |
| I am deeply enthusiatic in developing data science solutions for oil and gas industry.</p> | |
| <p id="email">👉 [email protected] / [email protected] </p> | |
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| <a href="https://www.linkedin.com/in/ming-xiang-lee-23610a95/" target="_blank">💼 LinkedIn</a> | |
| <a href="https://github.com/mingxiang1006" target="_blank">😺 Github </a> | |
| <a href="./assets/CV_Lee_Ming_Xiang_2023.pdf" target="_blank">📄 Download Resume</a> | |
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| <h2>Skills and Qualifications</h2> | |
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| <li>✔️ 2 years experience in Machine Learning,Natural Language Processing & Data Analytics.</li> | |
| <li>✔️ 3 years experience in seismic data processing. </li> | |
| <li>✔️ Experience in Python programming and cloud deployment.</li> | |
| <li>✔️ Technical committee for several machine learning hackathons.</li> | |
| <li>✔️ Volunteer speaker for Woman Who Code Event.</li> | |
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| <h2>Tech Stack</h2> | |
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| <div class="card--techstack"><span>Python, C++, HTML, CSS </span></div> | |
| <div class="card--techstack"><span>Streamlit, FastAPI, Docker, Micrsoft Azure</span></div> | |
| <div class="card--techstack"><span>Delfi, Dataiku, Cognite Data Fusion </span></div> | |
| <div class="card--techstack"><span>Tibco Spotfire, Power BI</span></div> | |
| <div class="card--techstack"><span>MySQL, Oracle, Postgres</span></div> | |
| <div class="card--techstack"><span>Petrel, Omega, Hampson-Russel</span></div> | |
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| <h2>Work History</h2> | |
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| <strong>🚀 DATA ANALYTICS ENGINEER | KL INNOVATION FACTORI, SLB </strong> | |
| <p>06/2021 - Present</p> | |
| <p>Worked on multiple projects related to Subsurface, Production & Drilling domains: </p> | |
| <p>1. Natural Language Processing (NLP): </p> | |
| <ul> | |
| <li>Developed and deployed webapp to automatically extract insights from Daily Operation Report remark section. </li> | |
| <li>Involved and mentoring to build oil and gas language model using transformer.</li> | |
| <li>Involved and mentoring to identify near miss drilling event from Daily Drilling Reports.</li> | |
| </ul> | |
| <p>2. Machine Learning & Data Analytics: </p> | |
| <ul> | |
| <li>Applied cross domain pattern recognition to identify the relationship between petrophysical properties and production potentials.</li> | |
| <li>Developed and deployed diagnostic analytics dashboard to identify overperforming and underperforming wells based on well production properties.</li> | |
| <li>Developed predictive analytics dashboard to calculate platform CO2 emission based on prediction of gas fuel rate.</li> | |
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| <p>3. Programming: </p> | |
| <ul> | |
| <li>Developed seismic auto converter from SEGY to DIO & DIO to SEGY format using C++.</li> | |
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| <strong>🚀 GEOPHYSICIST | GEOSOLUTIONS, SLB </strong> | |
| <p>03/2018 - 06/2021 </p> | |
| <p>Worked on multiple seismic processing project in both shallow and deep water surveys.</p> | |
| <ul> | |
| <li>Processed seismic in Offshore Australia, India, Gabon, Malaysia & Myanmar.</li> | |
| <li>Worked on seismic interfrence noise removal, demultiple, denoise, seismic to well tie.</li> | |
| <li>Worked on seismic interpretation including water bottom, fault and horizon picking.</li> | |
| <li>Developed and deployed analytics dashboard in streamlining Adaptive Deghosting testing | |
| efficiency by saving ~70% of man hours and cost.</li> | |
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| <h2>Publications & Accomplishments</h2> | |
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| <a href="https://www.earthdoc.org/content/papers/10.3997/2214-4609.202332039"><span>🏆 </span> | |
| Information Retrieval from Oil and Gas Unstructured Data with Contextualized Framework</a> | |
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| <a href="https://www.earthdoc.org/content/papers/10.3997/2214-4609.202272010"><span>🏆 </span> | |
| CO2 Emission Monitoring Based on Prediction of Gas Fuel Rate using Machine Learning</a> | |
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| <span>🏆 </span>Business Impact Award for 2021 SLB Asia Sustainability Hackathon.</div> | |
| <div class="card--project"><span>🏆 </span>SEG Kuwait Workshop: Imaging multi-order multiples - Shallow Water Case Study from South East Asia.</div> | |
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