Xiner (Sara) Ning
About Xiner (Sara) Ning
Xiner (Sara) Ning is a Data Analyst II currently employed at dv01 since 2022, with previous experience at Fannie Mae in various data analyst roles. She holds a Master of Science in Analytics from Georgetown University and a Bachelor's degree in Mathematics from the University of Maryland College Park.
Current Role at dv01
Xiner (Sara) Ning serves as a Data Analyst II at dv01, where she has been employed since 2022. In this role, she focuses on data analysis and visualization, utilizing her skills to provide insights that inform decision-making processes. Her expertise in data analytics enables her to synthesize complex data into actionable recommendations, contributing to the company's objectives.
Previous Experience at Fannie Mae
Prior to her current position, Xiner worked at Fannie Mae in various roles. She was a Multifamily Allowance and Forecast Data Analyst from 2021 to 2022, where she contributed to forecasting models. She also held a position in Capital Market Pricing as part of the AMTM Quality Assurance team for four months in 2020, and worked in Corporate Finance Risk Management as a Data Analyst for one year. These roles provided her with a solid foundation in data analysis within the financial sector.
Educational Background in Data Science
Xiner obtained her Master of Science in Analytics (Data Science) from Georgetown University, completing her studies from 2018 to 2020. She also holds a Bachelor's degree in Mathematics and Statistics from the University of Maryland College Park, which she earned from 2016 to 2018. Additionally, she studied Mathematics at The George Washington University from 2014 to 2016. This educational background equips her with a strong analytical foundation.
Internship Experience and Teaching Assistant Role
Xiner has gained valuable experience through various internships and a teaching assistant role. She worked as a Data Visualization Intern at The QED Group in 2020 and as a Data Science Intern at Bixal in 2019. Additionally, she served as a Teaching Assistant at Georgetown University for three months in 2019. These positions allowed her to develop practical skills in data analysis and visualization.
Technical Skills and Contributions
Xiner possesses expertise in SQL, R, Python, and Excel, which she utilizes to synthesize data insights into actionable recommendations. She actively contributes to open-source projects on GitHub under the username SaraLovesBubbleTea and showcases her data visualization projects on her Tableau Public profile. Her strong interest in applying data analytics skills for social good reflects her commitment to using data for positive impact.