Vanshika Tuteja Singh
About Vanshika Tuteja Singh
Vanshika Tuteja Singh is a Data Quality Analyst with over six years of experience in software development and data warehousing, specializing in ETL applications. She holds a Bachelor of Technology in Computer Science from Maharshi Dayanand University and has worked at notable companies including IBM and Citi before her current role at Mettler-Toledo International, Inc.
Work at Mettler-Toledo International
Currently, Vanshika Tuteja Singh serves as a Data Quality Analyst at Mettler-Toledo International, Inc. She has been in this role since 2020, contributing to the company's data quality initiatives in Warsaw, Mazowieckie, Poland. Her responsibilities include ensuring the integrity and accuracy of data within the organization, leveraging her extensive background in data analysis and ETL processes.
Education and Expertise
Vanshika Tuteja Singh earned her Bachelor of Technology (B.Tech.) in Computer Science from Maharshi Dayanand University, completing her studies from 2008 to 2012. She possesses expertise in various tools and technologies, including Informatica, Abinitio, Teradata, SQL, and UNIX. This educational background and technical proficiency support her work in data quality and software development.
Background in Data Analysis
Vanshika has over 6 years of experience in software development and data warehousing, with a specialization in ETL applications. Her career began at IBM, where she worked as a Data Specialist - ETL Developer from 2012 to 2016 in Pune, India. Following her tenure at IBM, she served as an Assistant Manager at Citi from 2016 to 2018, further enhancing her skills in data management and analysis.
Professional Experience at IBM and Citi
At IBM, Vanshika Tuteja Singh focused on ETL development, gaining valuable experience in data processing and management. After her time at IBM, she transitioned to Citi, where she held the position of Assistant Manager for two years. This role allowed her to further develop her leadership skills and deepen her understanding of data quality and analytics.