Lucas Ng

Experience

• 

  Ministry of Manpower

  Aug 2017 - now

  -Developed a New and Emerging Occupations Index (NEOI) to identify new and emerging occupation candidates using data from online job advertisements to support the revision of the International Standard Classification of Occupations (ISCO 2008). -7th place out of 42 teams globally for a web intelligence classification competition organised by Eurostat. The goal was to build a multi-lingual text classifier capable of predicting the most likely occupation code given a job title and job duties. -Developed Whole-of-Government Singapore Standard Occupation Classification model. Methodology involves the use of a custom neural network architecture, fine-tuning of open source embeddings using MRNL via question-context pairs generated with the aid of an LLM. Automated pre-labelling using an in-house customised RAG approach (i.e query fusion, LLM rerank). -4th/5th place out of a total of 24 teams for MOM Tableau Dashboard story-telling competition. -Developed user-interface using streamlit with advanced retrieval augmented generation techniques on internal customer service manuals and FAQs.-Presented on the advancements of Natural Language Processing (NLP) at the International Conference of Establishment Statistics (ICES2021).-Build, evaluate and maintain machine learning models. Scripts in both R and Python. -Worked together with colleagues to develop an automated case allocation and route optimization algorithm. A user friendly interface was built using R Shiny which allows non-technical users to generate case assignment PDFs which would be disseminated to interviewers.-Conducted the study on the extent of workplace practices on employee turnover through the use of a recursive partitioning model in the form of conditional inference trees. The results of the study found that the provision of flexible work arrangements played the most significant role in influencing a firm's resignation rate. Show less

  • Assistant Director

    Apr 2024 - now

  • Senior Statistical Specialist

    Apr 2020 - Apr 2024

  • Statistical Specialist

    Aug 2017 - Apr 2020
• 

  International Labour Organization

  Aug 2021 - Jul 2023

  Technical Officer

  -Applied OECD Skills for Jobs (S4J) methodology on information collected from Labour Market Surveys from Low and Middle income countries to construct ILO S4J database. Data cited in OECD report on "Equipping health workforce with the right skills" available here : https://www.oecd.org/employment/equipping-health-workers-with-the-right-skills-9b83282e-en.htm-Developed user interface and server using (R Shiny, Plotly), presenting outputs for low-and-middle income countries. https://rshiny.ilo.org/skillsforjobs/-Extending coverage of OECD & ILO S4J database has also been mentioned as one of the key priority areas of the Ministerial Communique and Outcome documents under the G20 EWG 2023.-Updated analysis of occupational skills needs presented in the "Skills for a greener future" (ILO, 2019) in both the energy sustainability and circular economy scenarios for G7 countries. Results presented in a paper 'Skills for decarbonisation'.-Contributed paper on addressing global skills gaps and monitoring: Towards a collaborative framework for the 1st G20 Employment Working Group meeting in India. -Statistical brief which compares country-level data on apprenticeships with an interest in countries with large informal economies. -Contributed to the International Labour Conference 2022 on the standard-setting for quality apprenticeships.-Web-scraping using Scrapy and Selenium to gather existing data with the goal of building a classification model to standardise the tagging of publications. Show less