Sushma Bandaru
About Sushma Bandaru
Sushma Bandaru is a Big Data Engineer with experience in data analytics and machine learning, currently working at Arity since 2022. She has previously held positions at DUKE.AI, Belle Fleur Technologies, and Strategio, and has a background in Electrical and Electronics Engineering.
Work at Arity
Sushma Bandaru currently holds the position of Big Data Engineer at Arity, where she has been employed since 2022. In this role, she focuses on utilizing big data technologies to support data analytics and machine learning initiatives. Her responsibilities include designing and implementing data pipelines and enhancing data-driven solutions.
Previous Experience in Data Science and Engineering
Before her current role, Sushma Bandaru worked at DUKE.AI as a Data Scientist for six months in 2021. She also held a position as a Cloud Engineer at Belle Fleur Technologies for two months in 2021. In 2022, she served as a Technologist at Strategio for three months. These roles contributed to her expertise in data analytics and cloud technologies.
Education and Certifications
Sushma Bandaru studied at Jawaharlal Nehru Technological University in Hyderabad, where she earned a B.Tech in Electrical and Electronics Engineering from 2004 to 2008. Additionally, she completed a certification as a Junior Cloud Practitioner at ChooseU from 2020 to 2021, enhancing her knowledge in cloud computing.
Technical Skills and Tools
Sushma Bandaru specializes in using AWS services for data analytics and machine learning projects. Her skills include utilizing IAM, S3, AWS DataBrew, AWS Glue, Athena, and Lambda. She also enhances machine learning models using Python and Jupyter Notebook and creates interactive dashboards with Amazon QuickSight.
Internship Experience
Sushma Bandaru gained early experience as an Electrical Engineer Intern at Eastern Power Distribution Company Of Andhra Pradesh Limited (Apepdcl) from 2008 to 2009. This internship provided her with foundational knowledge in electrical engineering within the context of power distribution.