Shawn Ng

Online Resume

Shawn Ng

Big Data Engineer

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I am a Big Data Engineer with domain knowledge in PropTech, RegTech and FinTech. From system engineering to data engineering, I am able to deliver end-to-end data product. My speciality is building data infrastructure that powers the organization's analytics capabilities, which enables data scientists and analysts to be more effective in their functions. I am condition to shipping data product at neck-breaking speed after working with multiple startups in various industries.

Work Experiences

Big Data Engineer

DBS BANK | 2020 - Present

DBS, a leading financial services group headquartered in Singapore, operates across 18 markets. We are an Asia-centric commercial bank focused on harnessing the region’s long-term potential as the centre of economic gravity shifts eastwards to Asia

    Data Engineer

    URBANZOOM | 2019 - 2020

    Seed round; Urbanzoom is a high tech startup that utilizes artificial intelligence to value real estate properties and match homeowners or owners-to-be to the ideal real estate agent

    • Managed production data infrastructure (AWS, GCP), pipelines (Airflow), models (Scikit-learn, XGBoost) and codebases (Django, Ruby on Rails, Express)
    • Scraped, analyzed, cleansed, transformed and integrated all structured and unstructured data sources
    • Developed, benchmarked and deployed production machine learning models and APIs using spatial temporal data
    • Collaborated with internal and external teams to develop and deliver user friendly data product

    Data Scientist

    SILENT EIGHT | 2017 - 2019

    Series A; Regtech company that uses big data analytics and cutting edge technology to revolutionise the way companies protect themselves from criminals, terrorists and money launderers

    • Completed 3 proof of concept (Docker, Bash, SQL, Jupyter, Python, Pandas, PySpark) with top financial institutes, 1 leading to contract agreement for production
    • Installed, tested and provided product diagnosis while deploying software into Standard Chartered Bank production for global roll-out
    • Designed and applied NLP (Textblob, SpaCy) & regex methods on text for feature extraction, leading to smarter machine learning software
    • Designed classifiers (Scikit-learn) to identify outliers, leading to 100% recall

    Software Engineer Intern

    SHIFT PAYMENTS| 2016 - 2017

    Seed round; Y-Combinator S14 fintech startup that makes it easy for users to spend digital currencies such as bitcoin

    • Built 4 dashboards (D3.js) and 12 reports on web application to analyze users’ transactions behavior, and detect potential fraud and disputed transactions
    • Built new admin panel features (Angular, Ruby on Rails) to update users’ information and transferring of funds
    • Analyzed 0.5M (number) of transactions and VISA invoices (ISO 8583) for accounting purposes
    • Resolved 5,000+ customer technical issues and collected product feedback

    Software Engineer Intern

    NINJA VAN | 2016 - 2016

    Series B; APAC fastest growing last-mile delivery startup in the logistic space

    • Analyzed 0.75M sales and shipping orders data (SQL, Redash, Excel)
    • Tested and compared various JavaScript data visualization libraries (D3.js, Chart.js, Google Charts)
    • Built web application dashboard (D3.js, Angular) to analyze 3000+ merchants’ daily delivery behavior
    • Collaborated with software engineers to deploy code into production

    Data Analytics Intern

    STARTUPBOOTCAMP | 2015 - 2016

    World's largest accelerator for FinTech startups

    • Scraped and cleaned data (Python, Excel) from various startup portals
    • Identified and contacted high potential Fintech startups to join the accelerator program
    • Analyzed social media (Facebook, Twitter) data to identify best way to engage target audience
    • Provided data insights for marketing and operation team

    Data Analytics Intern

    LUNCH ACTUALLY GROUP | 2015 - 2016

    Series A; Asia’s Premier Lunch Dating Company

    • Built company’s analytics capabilities through testing and comparing BI tools such as Tableau, Qlik
    • Created 15 dashboards (Qlik, Excel) to understand product metrics such as users growth, acquisitions, churn rate and revenue
    • Derived and recommended solutions to increase user engagement and revenue while keeping acquisition cost low
    • Collaborated with sales and marketing team to cross-sell and up-sell to users identified from their in-app behaviour
    • Cleaned, transformed and labeled (Python, Excel) data features to improve user matching algorithms

    Data Analytics Intern

    FUJI XEROX | 2014 - 2015

    World leading provider of document and knowledge management solutions

    • Cleaned and standardized (Python, Excel) 6 months’ worth of data for data storage and analysis
    • Generated various monthly reports to track sales, revenue and product trends
    • Wrote documentations for data cleaning, transformation, storage and report generation