Aasish Kumar I
About Aasish Kumar I
Aasish Kumar is a Technical Assistant at The George Washington University, recognized for his ability to enhance client consultations and achieve profitable outcomes. He has extensive experience in deploying and integrating EDA systems for a major telecom company, significantly improving customer satisfaction and reducing wait times.
Work at The George Washington University
Currently, Aasish Kumar serves as a Technical Assistant at The George Washington University, a position he has held since 2023. Prior to this role, he worked as a Student Technical Support Specialist III from 2022 to 2023 and as a Student Technical Assistant I from 2021 to 2022. During his time at the university, he contributed to significant improvements in customer satisfaction and system integration.
Education and Expertise
Aasish Kumar has a robust educational background in technology and data science. He is pursuing a Master's degree in Data Science at The George Washington University, having started in 2021. He earned a Bachelor of Technology in Information Science/Studies from PES University from 2014 to 2018. His earlier education includes completing his MPC at Sri Chaitanya Junior College from 2012 to 2014 and obtaining his High School diploma from Raghava Talent School in 2012.
Background in Telecommunications
Aasish Kumar has extensive experience in the telecommunications sector. He worked at Ericsson as a Solution Integrator for four months in 2021 and as an Associate Engineer Trainee from 2018 to 2021. In these roles, he was involved in deploying, integrating, and testing EDA systems for a telecom giant, managing up to 100,000 calls per day across the United States and the Middle East.
Achievements in System Integration
Aasish Kumar has demonstrated a strong ability to enhance system performance and customer satisfaction. He significantly reduced customer wait times and improved satisfaction ratings by 30% through effective system integration. Additionally, he led a system design plan that customized models, resulting in a 40% reduction in system bugs, facilitating a smooth handover to clients.