Tonix Wang

Tonix Wang has a diverse work experience that spans various industries and roles. Currently working as a Data Analyst at RiskSpan since 2021. Prior to that, Tonix had a role as an Experiential Learning Project (ELP) for Fannie Mae at the University of Maryland - Robert H. Smith School of Business, where they used SAS to clean and analyze loan performance data. Tonix also worked as an Impact Consulting Fellow at Uplift Innovation Inc., where they created an online marketplace and collected information from autism forums for collaboration. In 2019, Tonix was a Data Scientist intern at THH DaoKouWealth, conducting research and sentiment analysis on financial courses. They also gained experience as a Quantitative Analyst intern at China Bond Insurance Co., Ltd., where they performed credit enhancement analysis. Tonix began their career as a Research Assistant at the University of Science and Technology Beijing.

Tonix Wang completed a Bachelor of Science (BS) degree in Financial Engineering from the University of Science and Technology Beijing from 2015 to 2019. Following this, they pursued a Master's degree in Quantitative Finance at the University of Maryland from 2019 to 2021. In addition to their academic qualifications, Tonix has obtained several certifications. In November 2019, they earned certifications in "Machine Learning for Finance in Python" and "Supervised Learning with scikit-learn" from DataCamp. In July 2020, they obtained the certification in "Importing and Managing Financial Data in R" also from DataCamp. Furthermore, Tonix achieved the "AWS Certified Cloud Practitioner" certification from Amazon Web Services (AWS) in December 2022.