Mengting Wang

Data Scientist @ FINRA

About Mengting Wang

Mengting Wang is a Data Scientist with a strong educational background in Mathematics, Statistics, and Data Science. She currently works at FINRA in Rockville, Maryland, and has expertise in data-driven techniques, data visualization, and Natural Language Processing.

Work at FINRA

Mengting Wang currently serves as a Data Scientist at FINRA, having joined the organization in 2024. She has been engaged in utilizing data-driven techniques to address complex issues within the financial regulatory landscape. Prior to her current role, she also worked at FINRA for two months in 2023, further enhancing her experience in the field. Her work in Rockville, Maryland, involves applying her skills in data extraction and visualization to support FINRA's mission.

Education and Expertise

Mengting Wang holds a Bachelor's degree in Mathematics and Statistics from Southern Methodist University. She further advanced her education by obtaining two Master's degrees: one in Statistics from Rice University and another in Data Science from The Johns Hopkins University. Her academic background provides a strong foundation for her expertise in data science, particularly in developing Natural Language Processing models and employing data visualization techniques using Tableau.

Background

Mengting Wang has a solid educational background in quantitative fields, having studied Mathematics, Statistics, and Data Science. Her academic journey has equipped her with the necessary skills to tackle complex data challenges. Currently based in Rockville, Maryland, she is actively seeking job opportunities in Data Science and Machine Learning, indicating her commitment to furthering her career in these areas.

Skills in Data Science

Mengting Wang possesses a range of skills pertinent to data science. She is experienced in data extraction techniques and proficient in data visualization, particularly with Tableau. Her expertise extends to developing Natural Language Processing models, showcasing her ability to work with advanced data-driven methodologies. These skills enable her to effectively analyze and interpret data, contributing to informed decision-making processes.

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