Akshay Nimbalkar
About Akshay Nimbalkar
Akshay Nimbalkar is a Performance Data Analyst with a background in data science and engineering. He has worked at various companies, including Mondia Group and Majid Al Futtaim, and holds a Master's degree in Data Science from Aegis School of Business.
Current Role as Performance Data Analyst
Currently, Akshay Nimbalkar serves as a Performance Data Analyst at a confidential organization in Dubai, United Arab Emirates. He has held this position since 2022, contributing to data analysis and performance metrics within the company. His role involves leveraging data to enhance operational efficiency and support strategic decision-making.
Previous Experience at Mondia Group
Prior to his current role, Akshay worked at Mondia Group as a Data Scientist for one year, from 2021 to 2022, in Dubai, United Arab Emirates. In this position, he focused on data-driven insights and analytics, contributing to various projects aimed at improving business outcomes through effective data utilization.
Experience at Aegis School of Business
Akshay Nimbalkar was employed at Aegis School of Business from 2018 to 2019 as part of the Data Science, Cyber Security, and Telecommunication program. He worked there for 11 months in the Mumbai Area, India, where he gained practical experience in data science while pursuing his Master's degree in the same field.
Career Development at Market Xcel Data Matrix Pvt. Ltd.
From 2019 to 2020, Akshay served as a Data Scientist at Market Xcel Data Matrix Pvt. Ltd. in New Delhi Area, India. His responsibilities included analyzing data sets to derive actionable insights and support business strategies, further enhancing his expertise in data science.
Educational Background in Computer Engineering
Akshay Nimbalkar completed his Bachelor of Engineering (BE) in Computer Engineering at Savitribai Phule Pune University from 2011 to 2015. This foundational education provided him with essential knowledge and skills in computer science, which he later applied in his various roles in data science and software engineering.