Parnavi Kelkar
About Parnavi Kelkar
Parnavi Kelkar is a Data Analyst for GISAXS Experiments at Diamond Light Source in Oxfordshire, England. She holds a Master of Science in Data Science from City, University of London and has previous experience as a Student Communications Assistant at the same institution.
Work at Diamond Light Source
Parnavi Kelkar currently serves as a Data Analyst for GISAXS Experiments at Diamond Light Source, a leading UK research facility. Since joining in 2021, she has contributed to the analysis and interpretation of data generated from GISAXS experiments. Her role involves collaborating with researchers to enhance the understanding of materials at the nanoscale, utilizing advanced data analysis techniques to support scientific inquiries.
Education and Expertise
Parnavi Kelkar has a strong educational background in data science and analytical skills. She completed her Master of Science in Data Science at City, University of London from 2017 to 2021. Prior to that, she studied at Watford Grammar School for Girls, where she achieved A-Levels in Computer Science, Mathematics, Physics, and Psychology from 2015 to 2017. Her foundational education includes GCSEs obtained at Bentley Wood High School from 2010 to 2015.
Previous Experience at City, University of London
Before her current position, Parnavi Kelkar worked as a Student Communications Assistant at City, University of London from 2018 to 2021. In this role, she was responsible for facilitating communication between the university and its students, enhancing student engagement through various initiatives. This experience provided her with valuable skills in communication and project management, which she applies in her current role.
Academic Background
Parnavi Kelkar's academic journey reflects a commitment to the sciences and mathematics. She attended Bentley Wood High School, where she completed her GCSEs, followed by Watford Grammar School for Girls, where she pursued A-Levels in relevant subjects. Her education culminated in a Master of Science in Data Science, equipping her with the necessary skills for her career in data analysis.