Gaurav Aggarwal

Data Engineering & Analytics at Explore Digits

Gaurav Aggarwal has a diverse range of work experience in data engineering, analytics, and market research. Gaurav is currently working at Explore Digits Inc as a Data Engineering & Analytics professional. Prior to this, they held roles at Genpact as a Data Engineer - Analytics & IIOT, where they worked on designing data architecture, implementing data migration, and delivering analytical reports using Python. Gaurav also served as a Lead Consultant - Data Engineering & Analytics at Genpact, where they designed a centralized and scalable data platform on the cloud using Microsoft Azure.

Gaurav has also worked as a Business Intelligence Intern at SiriusXM, where they collaborated with business users, designed ETL strategies, and developed Python scripts for data warehousing solutions. Gaurav gained experience as a Data Analyst Intern at UNIBEES, where they designed procedures and programs to understand large datasets and used SQL and Python for data analysis. Earlier in their career, they worked as a Data Analyst at Tech Cluster Infomedia Pvt. Ltd, where they performed complex quantitative analysis, data profiling, and built data extraction queries using SQL. Additionally, they worked as a Junior Engineer (Manufacturing Product Data Management) at Flex and as a Market Research Analyst at DemandShore.

Gaurav Aggarwal holds a Master's degree in Business Analytics from The University of Texas at Dallas, which they earned from 2017 to 2019. Prior to that, they obtained a Bachelor of Engineering (B.E.) in Electronics and Communications Engineering from Savitribai Phule Pune University, where they studied from 2011 to 2015. In addition to their formal education, Gaurav has also obtained various certifications. In 2016, they completed courses in "Business Metrics for Data-Driven Companies" and "Introduction to Corporate Finance" from Coursera. In 2018, they achieved certifications in "Google AdWords Fundamentals" and "Google Analytics Individual Qualification" from Google. Furthermore, they earned an "AWS Certified Machine Learning – Specialty" certification from Amazon Web Services (AWS) in 2023.

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Timeline

  • Data Engineering & Analytics

    June, 2023 - present