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Curriculum Vitae #

Last update: 20/01/2023

Summary #

I’m an in-class trained statistician with a keen interest in machine and deep learning. I am constantly equipping myself with a wide range of tech stacks to experiment and build models from complex and messy data and, am currently, looking to venture into ML Engineer or Data Scientist role.

Technical Experiences #

  • June 2022 - Aug 2022 Central Bank of Malaysia
    Data Science Intern

    • Spearheaded and presented a ML experiment that optimises BERT model for multi-output financial news sentiment classification task with a limited label dataset through techniques such as Data Augmentation, Knowledge Distillation, and Transfer Learning.
    • Conducted review on the usability of text document extraction open source tools such as PyMuPDF, PDFMiner, Camelot and document processing DL model, LayoutLM.
    • Developed a Python program system that computes CoVaR for estimating systemic risk in financial system.
    • Analysed financial system systemic risk across 9 Malaysia’s major banking providers using CoVaR method and presented the findings through interactive Power BI Dashboard.

  • Sep 2021 - Dec 2021 LSESU Data Science Society, UK
    Project Developer

    • Performed market basket statistical analysis on more than 1M retail transactions dataset to uncover associations between products that are purchased together and to identify patterns of co-occurrence.
    • Pre-processed raw data into a clean, structured format for analysis. Applied an unsupervised machine learning clustering technique to categorise different customers based on purchasing patterns to improve accuracy of the analysis.
    • Designed clear and concise data visualisations using Seaborn, Plotly and Matplotlib to effectively showcase in-depth analysis during presentation.

Leadership Experiences #

  • Feb 2021 - Feb 2022 ICMS, UK
    11th UK Chapter Finance Director
    • Implemented a resilient fixed internal exchange rate to improve the council’s multi-currencies financial reporting by taking into account a certain percentage margin of safety against currency fluctuations.
    • Enhanced council’s financial decision making through in-depth visualisation of the entire ICMS financial operations and past councils’ spending analysis to promote data cultures in the organisation.
    • Forecasted financial sustainability of the council for foreseeable future years based on the current financial operations and cash reserves by implementing cash runaway financial concept.
    • Administered UK chapter budget proposal and events’ spending trackers through liaising with multiple stakeholders.

Education #

  • Sep 2020 – Present London School of Economics and Political Science, UK
    BSc Mathematics, Statistics and Business : 1st Class Honours

    • Related Modules
      Algorithms & Data Structures, Databases, Machine Learning, Artificial Intelligence, Time Series & Forecasting, Bayesian Inference, Stochastic Processes, Financial Statistics and Principle of Finance.

  • Aug 2018 – June 2020 Kolej Tuanku Ja’afar Seremban, Malaysia
    Advanced-Level (Alevel): A* A* A* A* A

    • Subjects:
      Further Mathematics, Mathematics, Physics, Economics, Extended Qualification Project (EPQ)

Online Certifications #

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