Kayla Manning
About Kayla Manning
Kayla Manning is a Teaching Fellow in Statistics at Harvard University, where she has worked since 2021. She holds a Bachelor of Arts in Statistics and Government from Harvard and has experience in various analytical roles, including internships at Deutsche Bank and Capital One.
Work at Harvard University
Kayla Manning has been serving as a Teaching Fellow in Statistics at Harvard University since 2021. In this role, she is responsible for assisting in the instruction of statistics courses, providing support to students, and contributing to the academic environment at the university. Prior to her current position, she worked as a Course Assistant for GOV 50: Data for nine months, where she supported the course's instructional team. Additionally, she held the position of Undergraduate Research Scholar at the Harvard Institute for Quantitative Social Sciences for five months in 2021.
Education and Expertise
Kayla Manning earned a Bachelor of Arts in Statistics and Government from Harvard University, completing her studies from 2018 to 2022. Her educational background provides her with a strong foundation in quantitative analysis and social sciences. She graduated from Salado High School in 2018, where she completed her secondary education.
Previous Work Experience
Before her current roles, Kayla Manning gained diverse experience in various internships. She worked as an Investment Banking Summer Analyst in Leveraged Finance at Deutsche Bank for two months in 2021. Additionally, she served as a Summer Analyst at Vista Equity Partners in 2020 for two months, focusing on Capital & Partner Solutions. She also interned at Social Solutions as a Customer and Prospect Database Intern for four months from 2019 to 2020.
Current Internship at Capital One
Kayla Manning is currently an Incoming Data Analyst Intern at Capital One, a position she has held since 2021. In this role, she is expected to apply her analytical skills and knowledge of data analysis to support the company's objectives. This internship complements her academic background and previous work experience in quantitative analysis.