Srikanth Popuri
About Srikanth Popuri
Srikanth Popuri is a Data Scientist at Expedia Group with extensive experience in marketing analytics, A/B testing, and advanced statistical techniques.
Title and Current Role
Srikanth Popuri is currently a Data Scientist at Expedia Group. He began this role in 2022 and is based in Seattle, Washington, United States.
Previous Experience at Uber
In 2022, Srikanth Popuri worked at Uber as a Data Scientist in Marketing Data Science. He held this position for 4 months in Seattle, Washington.
Experience at Zulily
Srikanth Popuri worked at Zulily from 2021 to 2022 as a Data Scientist in Marketing Analytics and Experimentation. His tenure at Zulily lasted 8 months in Seattle, Washington.
Background at The Home Depot
Between 2019 and 2021, Srikanth Popuri was a Data Scientist at The Home Depot, specializing in A/B Testing and Experimentation. He spent 2 years in Greater Atlanta Area, leading projects for the Search and Recommendations communities.
Career at EXL
Srikanth Popuri has had multiple roles at EXL. He was an Assistant Manager/Consultant 2 in Decision Analytics for 4 months in 2018-2019 in Greater Atlanta Area. Earlier, he served as a Senior Data Analyst for 1 year (2016-2017) and as a Data Analyst for 2 years (2014-2016) in Gurgaon, India.
Role at Procter & Gamble
Srikanth Popuri worked as a Graduate Research Assistant - Data Science at Procter & Gamble from 2017 to 2018. His position in Cincinnati, Ohio lasted for 7 months.
Educational Background
Srikanth Popuri holds a Master's degree in Business Analytics/Data Science from the University of Cincinnati Carl H. Lindner College of Business, earned in 2018. He also has a Bachelor's degree in Computer Engineering from the National Institute of Technology (NIT) Surat, completed in 2014.
Technical Skills and Expertise
Srikanth Popuri is proficient in a variety of analytical tools, including Adobe Analytics, SAS, Alteryx, and Tableau. He has expertise in coding languages such as SQL, Excel VBA, and R, and possesses a strong foundation in advanced statistical techniques like Linear and Logistic Regression, Time Series Forecasting, and Text Mining.