Company Info for dymonasia.com | IcebreakerMembers

- Singapore PR & UK Citizen
- Warwick Business School MBA
- St Andrews University, Financial Economics MA
- Chartered Accountant (CPA)
- Chartered Management Accountant (CIMA - ACMA & CGMA)
- Certified Financial Modeling & Valuation Analyst (FMVA)
- Over 18 years of finance experience in capital markets & fintech: Blockchain, equity long/short and derivatives investment management & trading, corporate valuation, syndicate, treasury & business development
- Leading & managing investment & sales teams, designing infrastructure/operational workflows/policies & procedures, business development, investor relations, vendors, FP&A, accounting, tax, audit & risk
- Strong technical knowledge in Python, SQL and VBA
- Published author, Thames & Hudson 
As a data scientist, I focus on building data science products. For modeling, I often utilise regression (linear, logistic, spline, regularized), deep learning (word2vec, DeepWalk, wide & deep, transfer learning), ensemble methods (random forest, gradient boosting, stacking), factorization machines, and Apache Spark’s MLlib, depending on the use case. For deployment, I utilize a collection of other technologies such as Airflow, Jenkins, Kubernetes, MLflow, Spring Boot, Docker, and Git, among others. I am experienced in using Amazon Web Services (AWS), Google Cloud Platform (GCP) and Databricks.
As an investor, I manage money by investing across global equities, bonds, commodities and foreign currencies. I focus on both strategic asset allocation and tactical asset allocation. For my non-crypto portfolio, I have achieved an annualized time-weighted total return of 8.48% since inception in July 2016.
Academically, I am trained in Statistics and Finance at NUS and NTU, respectively.
I am a Singapore citizen based in Singapore, fluent in both English and Mandarin.
If you need help in building data science products, or struggle to understand investments and personal finance, feel free to reach out to me.
For more details, please check out my website @ https://wngaw.github.io