Arunima C A
About Arunima C A
Arunima C A is a Data Analyst at du in the United Arab Emirates, where she has worked since 2024. She specializes in transforming complex data into actionable insights to improve logistics operations.
Work at du
Arunima C A has been employed as a Data Analyst at du since 2024, where she has worked for 8 months. In her role, she focuses on transforming complex data into actionable insights to enhance logistics operations. She develops and maintains reports that track key performance indicators and identify trends, contributing to the overall efficiency of the organization. Additionally, she collaborates with cross-functional teams to ensure data accuracy and support continuous improvement initiatives within Du Telecom.
Education and Expertise
Arunima C A holds a Master of Business Administration (MBA) in Finance and Business Analytics from Ramaiah Institute of Technology, which she completed from 2022 to 2023. Prior to her MBA, she earned a Bachelor of Commerce (BCom) degree from Calicut University, studying Finance and General from 2017 to 2020. She also attended Sree Krishna College in Mummiyoor, where she pursued a Bachelor of Commerce during the same period. Her educational background equips her with a solid foundation in finance and analytics.
Background
Arunima C A began her career with an internship at CheQ in 2023, where she worked for 2 months in Bangalore. This experience provided her with practical exposure to data analysis and business operations. Following her internship, she transitioned to her current role at du in the United Arab Emirates, where she applies her skills in data analysis to improve logistics and operational efficiency.
Achievements
In her current position at du, Arunima C A has successfully transformed complex data into actionable insights, which has enhanced logistics operations. She has developed and maintained reports that track key performance indicators and identify trends, demonstrating her ability to leverage data for decision-making. Her collaboration with cross-functional teams has also contributed to ensuring data accuracy and supporting continuous improvement initiatives within the organization.