This post by Data Scientist Tony Yiu is a summary of a longer blog he published on his Medium account, which you can read in full here.
For more detail, read my full post here.
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Before transitioning into data science, Tony Yiu spent nine years in the investments industry as a quantitative researcher, where he worked on portfolio optimization, economic simulation, and built numerous forecasting models to predict everything from emerging market equity returns to household spending in retirement. He now works as a data scientist at Solovis, where he uses his experience in statistics, finance, and machine learning to design and build risk analytics software for financial institutions. Tony is also a Metis Bootcamp graduate and we’re excited to have him back with us as a contributor to the blog, where he’ll write about data science and analytics in business and industry.
