Ekta Chugwani Aswani
About Ekta Chugwani Aswani
Ekta Chugwani Aswani is an Assistant Manager at KPMG India, specializing in data science and engineering. She holds an MTech from the Birla Institute of Technology and Science and has experience in machine learning and software development across various companies.
Work at KPMG India
Ekta Chugwani Aswani currently holds the position of Assistant Manager at KPMG India, a role she began in 2024. Prior to this, she served as a Consultant (Senior Data Scientist) at the same organization from 2023 to 2024. In her current role, she is involved in GenAI-based projects utilizing Azure OpenAI models across various domains, contributing to KPMG Digital Lighthouse initiatives. Her work environment is hybrid, allowing her to collaborate effectively with teams both remotely and on-site.
Education and Expertise
Ekta Chugwani Aswani has a strong educational background in technology and data science. She is pursuing a Master of Technology (MTech) in Data Science and Engineering at the Birla Institute of Technology and Science, Pilani, from 2022 to 2024. She earned her Bachelor of Engineering (B.E.) in Computer Engineering from Shri Sant Gajanan Maharaj College of Engineering, Shegaon, from 2014 to 2018. Additionally, she completed her Higher Secondary Certificate (HSC) in Computer Science at Shri Gajanan Maharaj English School from 2012 to 2014.
Background
Before joining KPMG India, Ekta worked at LTIMindtree as a Data Scientist from 2020 to 2023, where she actively contributed to the DIWA initiative and was part of the Center of Excellence (COE) cluster for the Manufacturing domain. Earlier in her career, she served as an Associate Consultant (Machine Learning Engineer) at Atos Syntel from 2018 to 2020, where she developed and deployed machine learning models using Docker containers on the cloud and pitched solutions to clients. She also gained experience as an Intern Technologist at Kratin LLC in 2017 and 2016.
Achievements
Ekta Chugwani Aswani has received multiple awards recognizing her contributions and skills in the workplace. Notably, she was honored with the 'Pat on the Back' award and the 'Spot Recognition Award' for her proactive attitude and problem-solving abilities. Throughout her career, she has worked on various projects, including Narratives on Flux Analysis, Condensate Prediction, and Speech Recognition, showcasing her expertise in machine learning and data analytics.