Roshni Bhandula

Roshni Bhandula

Analyst Ii @ Cvent

About Roshni Bhandula

Roshni Bhandula is an Analyst II at Cvent in Gurugram, Haryana, India, with a background in Business Economics and Mathematics. She has experience in various analytical roles, including positions at WNS Global Services and dunnhumby, and possesses advanced skills in programming and data visualization tools.

Work at Cvent

Roshni Bhandula has been employed at Cvent as an Analyst II since 2021. She is based in Gurugram, Haryana, India. In this role, she applies her analytical skills to support various projects and initiatives within the company. Her tenure at Cvent has lasted for three years, contributing to her professional growth and expertise in analytics.

Previous Experience at WNS Global Services

Before joining Cvent, Roshni Bhandula worked at WNS Global Services. She began her career there as a Trainee Analyst from 2019 to 2020 for one year. Following this role, she continued at WNS Global Services as an Analyst from 2020 to 2021 for six months. This experience provided her with foundational skills in data analysis and business processes.

Internship Experience at dunnhumby

In 2018, Roshni Bhandula completed a two-month internship as an Associate Analyst at dunnhumby in Gurgaon, India. This role allowed her to gain practical experience in data analysis and insights generation, further enhancing her analytical capabilities.

Educational Background

Roshni Bhandula studied at the Department of Business Economics, University of Delhi, where she earned a Master of Business Administration (MBA) with a specialization in Marketing and Analytics from 2017 to 2019. Prior to her MBA, she obtained a Bachelor of Science degree in Mathematics from Hindu College Moradabad from 2013 to 2016. Her educational background has equipped her with strong analytical and quantitative skills.

Technical Skills and Expertise

Roshni Bhandula possesses advanced skills in several programming languages, including VBA, SQL, R, and Python. She is also proficient in using visualization tools such as Power BI. These technical skills support her analytical work and enable her to effectively interpret and present data.

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