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Experience

    • Singapore
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Data Scientist
      • Jan 2023 - Present

      AI for recruitment: Leverage on large language models (LLM), including open-sources such as Llama 2, for quick generation of job descriptions. Apply fine-tuning techniques to adapt LLMs to the nuances of company-specific data and use different prompt engineering techniques to maximise results while reducing costs. Utilize RAG framework to improve the relevance and coherence of generated content based on existing documents. Bond Yield Prediction: Utilised ML models to… Show more AI for recruitment: Leverage on large language models (LLM), including open-sources such as Llama 2, for quick generation of job descriptions. Apply fine-tuning techniques to adapt LLMs to the nuances of company-specific data and use different prompt engineering techniques to maximise results while reducing costs. Utilize RAG framework to improve the relevance and coherence of generated content based on existing documents. Bond Yield Prediction: Utilised ML models to forecast bond yield for providing actionable recommendations to bank traders. Conducted comprehensive data analysis to identify patterns and trends influencing bond yield movements. Engineered features tailored to market setups, technical indicators, and fundamental factors. Built an end-to-end machine learning pipeline and implemented automated continuous model retraining for adaptation to market fluctuations. Show less

    • Singapore
    • Information Technology & Services
    • 100 - 200 Employee
    • Data Scientist
      • Nov 2021 - Jan 2023

      Drive the development of high-impact data science projects to meet the challenges faced by clients in different industries: Retail, F&B, Supermarkets and Shopping Malls. Build campaign response, customer segmentation, churn and product recommendations models using machine learning algorithms(e.g. CatBoost, XGBoost, K-means, Nearest Neighbours, etc) to help clients achieve better business outcome. Leverage on AWS Services(e.g. Sagemaker, Glue, Airflow, etc) and PySpark (Spark in… Show more Drive the development of high-impact data science projects to meet the challenges faced by clients in different industries: Retail, F&B, Supermarkets and Shopping Malls. Build campaign response, customer segmentation, churn and product recommendations models using machine learning algorithms(e.g. CatBoost, XGBoost, K-means, Nearest Neighbours, etc) to help clients achieve better business outcome. Leverage on AWS Services(e.g. Sagemaker, Glue, Airflow, etc) and PySpark (Spark in Python) for building scalable end-to-end machine learning pipeline that could handle big data efficiently. Show less

    • Netherlands
    • Business Consulting and Services
    • 1 - 100 Employee
    • Data Scientist
      • Jun 2021 - Nov 2021

      Led the development of car pricing models, to enable accurate valuation in different markets (Singapore, Malaysia, Indonesia and Japan). Created models using different Python based machine learning algorithms(eg. Gradient Boosted Trees) and leveraged on visualization tools(eg. Tableau) to communicate model impact. Built end-to-end pipeline for model training, inference, auto-retraining using AWS services such as Sagemaker, Lambda, etc. Rapid prototyping of machine learning… Show more Led the development of car pricing models, to enable accurate valuation in different markets (Singapore, Malaysia, Indonesia and Japan). Created models using different Python based machine learning algorithms(eg. Gradient Boosted Trees) and leveraged on visualization tools(eg. Tableau) to communicate model impact. Built end-to-end pipeline for model training, inference, auto-retraining using AWS services such as Sagemaker, Lambda, etc. Rapid prototyping of machine learning models and creation of interactive apps for stakeholders using tools like Streamlit. Show less

    • Singapore
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Machine Learning Engineer
      • May 2018 - May 2021

      Used statistics and data science to identify opportunities and insights from customer and product usage data and communicated to stakeholders which resulted in an improvement of customer experience and satisfaction(NPS). Created machine learning & deep learning models and used state of the art models like Transformers, language models, and BERT to solve different NLP problems such as text summarization, image-text matching, sentence splitting and more. Analyzed clients’ social… Show more Used statistics and data science to identify opportunities and insights from customer and product usage data and communicated to stakeholders which resulted in an improvement of customer experience and satisfaction(NPS). Created machine learning & deep learning models and used state of the art models like Transformers, language models, and BERT to solve different NLP problems such as text summarization, image-text matching, sentence splitting and more. Analyzed clients’ social media data using image, hashtag and text analysis in the context of digital marketing, to identify key drivers and improve marketing outcomes. Hands-on experience with deep learning framework like PyTorch, Scikit-learn for building models, Python and Pandas for data wrangling, SQL for extracting dataset, and visualization tools like Matplotlib, Seaborn and Tableau. Design and implement end to end data science solutions (from concept to communication of results) that focus on delivering business value. Show less

    • Singapore
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Senior System Analyst
      • Jun 2016 - May 2018

      Singapore Transformed complex data from database into meaningful insights for different hospital departments, using SQL, descriptive analysis, Tableau and Crystal Report. Led an exploratory project in using machine learning and distributed computing (Spark) to predict patient risk profile based on patterns in huge amount of patients’ progress notes (unstructured data). Experienced in writing complex SQL queries for extracting data and familiar with ETL process in electronic medical record… Show more Transformed complex data from database into meaningful insights for different hospital departments, using SQL, descriptive analysis, Tableau and Crystal Report. Led an exploratory project in using machine learning and distributed computing (Spark) to predict patient risk profile based on patterns in huge amount of patients’ progress notes (unstructured data). Experienced in writing complex SQL queries for extracting data and familiar with ETL process in electronic medical record (EMR) systems. Show less

    • Singapore
    • Investment Management
    • 1 - 100 Employee
    • Senior Software Developer
      • May 2013 - Jun 2016

      Led and developed the “Interactive Project”, an innovative patented platform that allows advertisers to add interactivity to their ads on the national electronic newspaper and opened a brand new revenue stream for SPH. Used OpenCV, a library of Computer Vision algorithms to perform image recognition of ads which allows interactivity to be place on the identified ads.

    • Singapore
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Application Consultant
      • Dec 2011 - May 2013

      Developed Java/J2EE systems for Ministry Of Defence (MINDEF) intranet projects. Familiar with clustering of Oracle Weblogic web servers and related IT infrastructure. Involved in Apache and Oracle WebLogic servers security hardening, and performance tuning exercises.

Education

  • National University of Singapore
    Master of Technology - MTech, Enterprise Business Analytics
    2019 - 2020
  • University of Wollongong
    Bachelor of IT, Computer Science
    2010 - 2011

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