Shubham Bansal
About Shubham Bansal
Shubham Bansal is a Manager at The Smart Cube in Noida, Uttar Pradesh, India, where he has worked since 2019. He has a background in data visualization and analytics, with previous roles at ZS Associates, LiquidHub Analytics, and SAMSUNG SDS.
Work at The Smart Cube
Shubham Bansal has been serving as a Manager at The Smart Cube since 2019. In this role, he focuses on data visualization and analytics, utilizing tools such as Qlik and Tableau. His responsibilities include transforming large data sets from various sources into actionable insights, which supports decision-making processes within the organization. He has accumulated five years of experience in this position, contributing to the company's analytics capabilities.
Previous Experience in Data Analytics
Before joining The Smart Cube, Shubham Bansal worked at several notable organizations. He was a Business Technology Analyst at ZS Associates for one year, from 2015 to 2016. Following that, he served as an Associate Consultant at LiquidHub Analytics for two years, from 2017 to 2019. Additionally, he had a brief tenure as a Senior Software Engineer at SAMSUNG SDS in 2017. His diverse experience has equipped him with a strong foundation in data analytics and technology.
Education and Expertise
Shubham Bansal completed his Bachelor of Technology (B.Tech.) in Electrical, Electronics, and Communications Engineering from Jamia Millia Islamia, studying from 2010 to 2014. Prior to that, he attended General Raj's School, where he studied Computer Science and completed his 12th grade from 2003 to 2010. His educational background supports his expertise in data visualization tools, including QlikView, Microsoft Office, Python, and Tableau.
Technical Skills and Specializations
Shubham Bansal possesses a range of technical skills relevant to data analytics. He specializes in customer analytics using Google Cloud Platform and BigQuery. His expertise extends to advanced statistical techniques, including Regression, Decision Tree, Random Forest, and Support Vector Machine (SVM). He is adept at transforming large data sets from sources like BigQuery, Oracle, and Excel into actionable insights, enhancing data-driven decision-making.