Tam Huynh

Tam Huynh has a diverse work experience in the field of data science and analytics. Tam started as a Mathematics Teacher at The Princeton Review in 2010. Later, Tam worked as a Quantitative Analyst at NCSU Investment Fund, where they implemented Monte Carlo methods for modeling fund growth and optimizing scholarship payouts. Tam then joined the Institute for Defense Analyses as an Adjunct Researcher, focusing on testing supply adequacy and developing risk measures.

In 2014, Tam joined Conversant, Inc. as a Data Scientist, where they conceptualized and implemented predictive analytics and machine learning solutions for business problems. Tam played a key role in developing a prospecting product that became a staple offering for clients.

Tam's most recent experience has been at Arity, where they started as a Data Scientist and gradually progressed to the roles of Senior Data Scientist Consultant I and II. As a Senior Data Scientist Consultant, Tam managed a data science team responsible for delivering telematics on demand, a data aggregation platform and marketplace. Tam conducted economic analysis of telematics data and used various analytical techniques including survival analysis, gradient boosted methods, random forests, and more to predict consumer lifetime value and inform marketing strategies. Tam also built and supported an algorithm that matched consumers to their telematics data. Currently, Tam holds the position of Lead Data Scientist at Arity.

Tam Huynh received a Master's Degree in Statistics from North Carolina State University in 2013-2014. Prior to that, they also obtained a Master's Degree in Financial Mathematics from the same institution in 2011-2013. Additionally, Tam Huynh holds a certification in "Introduction to Data Science in Python" from Coursera, however, the specific date of completion is not provided.