Mark S Wang

Mark S Wang has a diverse work experience in the field of data science and analysis. Mark S most recently worked as a Data Scientist at Mobi Systems starting in 2022. Prior to that, they held the role of Data Scientist III at ShipBob, Inc. from 2021 to 2022, where they played a key role in the CareBob project, focused on churn prediction. Mark also worked as a Graduate Teaching Assistant at the University of Chicago from 2021 to 2022, supporting teaching activities. Earlier in their career, they were a Data Scientist Analyst at Anthem, Inc., where they worked on the Digital Examiner project, improving claims processing automation and prediction precision. Mark also gained experience as a Data Scientist at The Medici Group, working on data science projects, speech to text transcription, and business intelligence. Mark S started their career as a Data Science Software Engineer Intern at Tencent, focusing on feature importance investigation and implementing causality models. Mark's prior experience includes a summer internship at Deloitte UK and an executive administrator internship at Singapore Symphonia Company Limited. Mark S also worked as a Sales Representative at Seagate Technology. Throughout their career, Mark has demonstrated strong analytical and problem-solving skills, effective project management, and the ability to work collaboratively with cross-functional teams.

Mark S Wang completed their education history as follows:

From 2019 to 2021, they attended the University of Chicago and earned a Master of Science in Analytics (MScA) degree.

Between 2016 and 2019, they studied at UCL and obtained a Bachelor of Engineering degree in Mechanical Engineering with Business Finance.

In 2014 and 2015, they attended Hwa Chong Institution and completed a Singapore-Cambridge GCE A Level, focusing on Physics, Mathematics, Chemistry, and Economics.

Additionally, Mark S Wang obtained several certifications, including "Structuring Machine Learning Projects" from deeplearning.ai offered by Coursera in July 2020. Mark S also completed "Algorithmic Toolbox" offered by UCSD and HSE through Coursera in June 2020. Other certifications include "Building Recommendation Engines with Pyspark" from DataCamp in June 2020, "Machine Learning with PySpark" from DataCamp in June 2020, "Feature Engineering for Machine Learning in Python" from DataCamp in January 2020, and "Introduction to Data Science in Python" from UMich offered by Coursera in January 2020.