Jing Gao
About Jing Gao
Jing Gao is a Senior Modeling Analyst with extensive experience in manipulating large datasets and data visualization. He has worked at Nomis Solutions and Cleveland State University, and holds multiple degrees in Applied Statistics, Food Science and Technology, and Human Nutrition.
Current Role as Senior Modeling Analyst
Jing Gao currently holds the position of Senior Modeling Analyst at Nomis Solutions, a role she has occupied since 2021. In this capacity, she focuses on manipulating large datasets to derive meaningful insights. Her expertise in model recalibration plays a significant role in enhancing the accuracy and performance of analytical models. Jing's work is based in Cleveland, Ohio, where she contributes to the company's data-driven decision-making processes.
Previous Experience at Nomis Solutions
Before her current role, Jing Gao worked at Nomis Solutions as a Modeling Analyst from 2019 to 2021. During her two years in this position, she developed her skills in handling extensive data collections and gained valuable experience in data analysis. This role laid the foundation for her advancement to Senior Modeling Analyst.
Academic Background in Applied Statistics
Jing Gao earned her Master's degree in Applied Statistics from Cleveland State University, where she studied from 2017 to 2019. This academic experience provided her with a strong foundation in statistical methods and data analysis techniques, which she applies in her professional work. Her education has been instrumental in her career development.
Graduate Assistant Role at Cleveland State University
Prior to her tenure at Nomis Solutions, Jing served as a Graduate Assistant at Cleveland State University from 2018 to 2019. In this role, she supported academic research and assisted in various projects, further enhancing her analytical skills and understanding of data manipulation.
Educational Qualifications in Food Science and Human Nutrition
Jing Gao holds a Bachelor's degree in Food Science and Technology from Henan University of Technology, which she completed from 2009 to 2013. Additionally, she studied Human Nutrition at Universiteit Gent, obtaining her Master's degree from 2013 to 2015. These diverse educational experiences contribute to her comprehensive understanding of data analysis in various fields.