University of Maryland

Smith School of Business

Teaching Assistant- held office hours for multiple students for two different programs to assist students in understanding complex principles improving the overall performance of the programs
President, Smith Master's Student Association- planned and executed large scale events and workshops improving the students' experience at Smith before, during, and after their graduation
Track Representative- liaise between the faculty and students to create a seamless virtual studying environment
President, Smith Master's Marketing Analytics Association- appointed all committee chairpersons, to aid in organizing large scale events resulting in community bonding during the pandemic.

Analyzed retail pricing decisions based on point-of-sales scanner data using Linear, semi-log, log-log regression models in SAS to provide recommendations for retail store pricing strategies
Analyzed print ad designs using eye-movement data via Generalized linear models: Poisson regression, logit model in SAS to increase brand equity awareness
Evaluated the effectiveness of sales promotions based on scanner panel data using Models of incidence, choice and quantity: semi-log regression, logit model, multinomial logit model in SAS
Developed international market segmentation for global retailers using Mixture regression models in GLIMMIX
New product development through choice-based conjoint analysis for coffee makers using Multinomial logit (MNL) models and mixture MNL models in GLIMMIX
Analyzed a google analytics online-store dataset to predict customer revenues based on consumer behavioral characteristics using R, SaS, SQL, and Tableau
Conducted a market research survey using Qualtrics to maximize potential for Uber Connect by analyzing the target audience
Created a purchased funnel with CRM for student acquisition at the Smith School, estimating cost for search campaigns, analyzing keyword performance based on Google, providing recommendations for improving effectiveness and efficiency