Shawn Ng
- shawn.ng.t.q@gmail.com
- shawnngtq.com
- Singapore
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, 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
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
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
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
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
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
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
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