Sushma Divakar
About Sushma Divakar
Sushma Divakar is a Data Analyst currently employed at Mercedes-Benz Research and Development India as an Analytics Consultant since 2021. She holds a Bachelor of Engineering in Aeronautical from Dayananda Sagar College of Engineering and a Master of Technology in Data Science and Machine Learning from PES University.
Work at SagasIT Analytics
Sushma Divakar has been employed at SagasIT Analytics Pvt. Ltd. as a Data Analyst since 2021. In this role, she focuses on utilizing her analytical skills to derive insights from data, supporting various business initiatives. Her responsibilities include employing advanced data visualization techniques and developing predictive models to enhance decision-making processes.
Current Role at Mercedes-Benz Research and Development India
Since 2021, Sushma has also worked as an Analytics Consultant - External at Mercedes-Benz Research and Development India. In this position, she applies her expertise in data analysis to support strategic business insights, contributing to the organization's analytics capabilities.
Education and Expertise
Sushma Divakar earned her Bachelor of Engineering (B.E.) in Aeronautical Engineering from Dayananda Sagar College of Engineering, Bangalore, from 2010 to 2014. She later pursued a Master of Technology (MTech) in Data Science and Machine Learning at PES University, completing her studies from 2020 to 2022. Her educational background provides a strong foundation for her specialization in creating recommendation systems and time series forecasting models.
Previous Experience at Capgemini and Stuta HR Consulting
Prior to her current roles, Sushma worked at Capgemini as a Trainee Consultant from 2015 to 2017. She then transitioned to Stuta HR Consulting Private Limited, where she served as a Data Analyst from 2019 to 2021. These positions allowed her to develop her analytical skills and gain practical experience in data analysis.
Technical Skills and Specializations
Sushma possesses advanced skills in data visualization, particularly using Tableau, to support business insights. She specializes in deep learning concepts, which enhances her ability to create data-driven solutions. Her expertise also includes developing recommendation systems and time series forecasting models, contributing to improved decision-making processes.