Shiwani Joshi
About Shiwani Joshi
Shiwani Joshi is a Data Engineer currently employed at KPMG Australia, where she has worked since 2022. She has previous experience in various roles related to data science and engineering, including positions at Spectar Group and The Sparks Foundation.
Work at KPMG Australia
Shiwani Joshi currently serves as a Data Engineer at KPMG Australia, a position she has held since 2022. Based in Melbourne, Victoria, she has been involved in various data engineering projects that support KPMG's consulting and advisory services. Her role focuses on leveraging data analytics to drive business insights and improve operational efficiency.
Previous Experience at Spectar Group
Before joining KPMG, Shiwani worked as an RPA Developer at Spectar Group for a period of six months in 2021. During her time in Melbourne, Victoria, she contributed to the development and implementation of robotic process automation solutions, enhancing the efficiency of business processes.
Internship at The Sparks Foundation
In 2020, Shiwani completed a one-month internship at The Sparks Foundation, focusing on Data Science and Business Analytics. This experience allowed her to apply her academic knowledge in a practical setting, working on projects that involved data analysis and business intelligence.
Educational Background in Data Science
Shiwani Joshi holds a Master of Data Science from Monash University, where she studied from 2019 to 2021. Her education provided her with a strong foundation in data analysis, machine learning, and statistical methods. Additionally, she earned a Bachelor of Technology in Computer Science from SRM University, completing her degree from 2015 to 2019.
Trainee Experience in Big Data
Shiwani has gained valuable experience in the field of big data through her trainee roles in 2018. She worked at the National University of Singapore as a Trainee in Big Data with Artificial Neural Networks and at Hewlett Packard Enterprise as a Trainee - Big Data and Hadoop System Administrator, both for one month. These positions allowed her to develop practical skills in big data technologies and analytics.