HARI CHANDANA VUPPU

Self driven and highly passionate individual with strong understanding of diverse business intelligence methodologies to improve workflow, productivity and reliability.

Student Intern , 06/2018 to 01/2019

De Anza Honors Program – Cupertino

• Was selected as a student trainee in the De Anza Honors Program amongst 1000+ applications.
• Represented De Anza College in the Stanford University's annual research conference called “Symposium”, which is a conference exclusively for the students of all community colleges in California.
• Organized 10+ fundraisers and events while being enrolled in advance honors classes.
• Gathered, organized and input students' information into digital database.

Econometrics: Project using Regression Analysis

• Analyzing the factors that influence consumer spending

Collected information on consumer spending patterns, which included elements like income, household size, age, education, and employment status. Examined variables that had the most influence on consumer spending by using multiple linear regression, and observed how any minor changes in these variables affect spending trends.

Managing & Using Information Technology

• Tinder Analytics

Decoded Tinder's (the app) algorithm by applying frameworks like root cause analysis (RCA), fishbone analysis, pain points and presented an in-depth presentation about the potential solutions that Tinder can implement to improve its algorithm and message to match ratio benefiting its business and providing a satisfactory user experience for its customer.