Amulya Vankamamidi
About Amulya Vankamamidi
Amulya Vankamamidi is a Customer Success Associate with a strong background in data analytics and expertise in data visualization and predictive modeling. She has worked at notable companies including Infiniti Research Ltd., Informatica, Accenture, and currently Acceldata, while holding degrees in Electrical and Electronics Engineering and Business Analytics.
Work at Acceldata
Amulya Vankamamidi currently serves as a Customer Success Associate at Acceldata, a role she has held since 2023. In this position, she applies her expertise in data analytics to enhance customer success strategies. Her responsibilities include utilizing data visualization and predictive modeling to support clients in making informed decisions.
Previous Experience in Customer Success
Prior to her role at Acceldata, Amulya worked at Informatica as a Customer Success Associate from 2021 to 2023. In this capacity, she contributed to customer engagement and satisfaction through data-driven strategies. She also gained experience at Infiniti Research Ltd. as a Research Associate for six months in 2020, where she supported research initiatives.
Background in Application Development
Amulya has a background in application development, having worked at Accenture as an Associate Application Developer from 2018 to 2019. This experience provided her with a solid foundation in technology and software development, which complements her current focus on customer success.
Education and Expertise
Amulya Vankamamidi holds a Bachelor of Technology in Electrical and Electronics Engineering from Gokaraju Rangaraju Institute of Engineering and Technology, completed from 2013 to 2017. She furthered her education with a Post Graduate Diploma in Management specializing in Business Analytics from IFIM Business School, which she completed in 2021. Her academic background supports her expertise in data analytics, data visualization, and predictive modeling.
Skills in Data Analytics
Amulya possesses a strong foundation in data analytics, which is essential for her role in customer success management. She utilizes advanced presentation skills to communicate complex data insights effectively, aiding clients in their decision-making processes. Her skills in data visualization and predictive modeling enhance her ability to drive customer success initiatives.