Munira Syed
About Munira Syed
Munira Syed is a Data Scientist at Procter & Gamble and a Graduate Research Assistant at the University of Notre Dame, with expertise in network representation learning and truth discovery.
Current Role at Procter & Gamble
Munira Syed is currently a Data Scientist at Procter & Gamble, where she has been employed since 2020. Her role is based in Cincinnati, Ohio, United States. Her responsibilities likely involve leveraging data science techniques to derive insights and support business strategies within the company.
Position at University of Notre Dame
Munira Syed is also a Graduate Research Assistant at the University of Notre Dame, a position she has held since 2019. Her research work at the institution is likely focused on advanced topics within computer science, leveraging her expertise in network representation learning and truth discovery.
Internship and Teaching Experience
In 2019, Munira Syed interned at IBM Research Dublin for 2 months, contributing to projects in County Dublin, Ireland. Additionally, she served as a Graduate Teaching Assistant at the University of Notre Dame in 2019 for 4 months and from 2015 to 2016 for 9 months. These roles involved assisting in the instruction of computer science courses and supporting student learning.
Educational Background
Munira Syed attained her Ph.D. in Computer Science from the University of Notre Dame, completing her studies from 2015 to 2020. She previously earned her Bachelor of Technology (B.Tech) in Computer Science and Engineering from Visvesvaraya National Institute of Technology, where she studied from 2011 to 2015. This strong educational foundation underpins her expertise in network representation learning and truth discovery.
Research Expertise and Experience
Munira Syed has substantial expertise in network representation learning and truth discovery, alongside experience in sentiment analysis and topic modeling. She demonstrates a strong ability to thrive in dynamic, multitasking, and collaborative research environments. Her varied experiences in academia and industry enhance her proficiency in these areas.