Brayden Tang

Data Scientist II - Marketplace + Research And Development at Ledger Investing

Brayden Tang has a diverse work experience. In 2017, they began working as an Actuarial Analyst for Saskatchewan Government Insurance. During their time there, they used predictive models to price insurance premiums, resulting in an average premium reduction of 4% for all vehicle owners in Saskatchewan. Brayden also improved the estimation of recovery rates for severely injured customers by 10%, reducing incurred claim amounts by 20%. In 2016, they worked as a Research Student at the University of Regina, studying Brownian motion, random walks, and introductory Itô calculus in collaboration with Dr. Michael Kozdron in the Mathematics, Statistics, and Actuarial Science department. In 2019, they worked as a Data Entry Clerk for the Government of Saskatchewan, executing document discovery for a high profile lawsuit worth $100 million dollars. Brayden read, scanned, described and handled over 1000 sensitive documents, creating spreadsheets in Excel that organized all documents, improving search efficiency by 20%. In 2020, they worked as an Analytics Analyst II for The Co-operators, teaming with two business units to assess the effectiveness of expense-saving initiatives. Brayden proved the company was saving 5-7 million dollars a year with causal inference/econometric models in R/Python and applied hierarchical Bayesian modeling to sparse industry data sets in R and Stan. In the same year, they also worked as a Data Science Intern (UBC Capstone) for TransLink, conceiving a written report with interactive data visualizations in Python and R, which provided recommendations that could lead to reductions in transportation accidents by as much as 30%. Brayden also distinguished high/low-risk accident scenarios with Bayesian regression and machine learning classification models, improving the identification of high-risk bus routes by 35% over naive methods. In 2022, Brayden Tang will begin working as a Data Scientist II for Ledger Investing.

Brayden Tang has a Master's degree in Data Science from The University of British Columbia, obtained in 2020. Prior to that, they earned a Bachelor of Science - BSc in Actuarial Science from the University of Regina, obtained in 2019. Brayden has also obtained several certifications, including Intermediate SQL For Data Analysis and Spark and Map-Reduce from Dataquest.io in 2020, SQL and Database Fundamentals from Dataquest.io in 2020, Construction and Evaluation of Actuarial Models: Exam C from the Society of Actuaries in 2018, Probability: Exam P from the Society of Actuaries in 2017, Financial Mathematics: Exam FM from the Canadian Institute of Actuaries l Institut canadien des actuaires in 2017, and Models for Financial Economics: Exam MFE from the Canadian Institute of Actuaries l Institut canadien des actuaires in 2017.

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  • Data Scientist II - Marketplace + Research And Development

    September, 2022 - present