Sushmita Singh
About Sushmita Singh
Sushmita Singh is a Senior Data Analyst at KPMG India, with a background in Electrical and Electronics Engineering. She has extensive experience in data analysis, SaaS, and digital transformation, having previously worked at several prominent companies including SBI Card and Path Infotech Ltd.
Work at KPMG India
Sushmita Singh currently holds the position of Senior Data Analyst at KPMG India. She has been with the company since 2023. Prior to this role, she worked as a Data Analyst at KPMG from 2021 to 2023. In her current role, she focuses on leveraging data analytics to support business objectives and enhance decision-making processes.
Previous Experience in Data Analysis
Before joining KPMG, Sushmita Singh gained valuable experience as a Data Analyst at SBI Card from 2016 to 2020. She also worked at Vacobinary Semantics as a Data Analyst for six months in 2020. Additionally, she served as an Analyst Programmer at Path Infotech Ltd. for nine months in 2021. This diverse background has equipped her with a strong foundation in data analysis and programming.
Education and Expertise
Sushmita Singh earned her Bachelor of Technology (BTech) degree in Electrical and Electronics Engineering from Graphic Era Deemed to be University. Her educational background complements her expertise in strategizing and delivering large-scale Software as a Service (SaaS) and Digital Transformation programs. She is proficient in new-age technologies such as Big Data, AWS, Azure, Power BI, and SQL.
Technical Skills and Responsibilities
In her roles, Sushmita Singh has been responsible for product engineering of a multi-million dollar product portfolio. She applies contemporary business models to develop scalable reports and dashboards. Her technical skills include complete SQL and TQL development, and she possesses key functional skills in delivery participation, P&L management, and product strategy.
Interest in AI and Machine Learning
Sushmita Singh has a keen interest in AI and Machine Learning technologies. She is enthusiastic about exploring how these technologies can be integrated into data analysis and business strategies to drive innovation and efficiency.