• Built predictive models in R for employee retention and sales performance. The model predicting employee attrition demonstrated a 300-500% improvement in accuracy compared to existing analyses and was integrated into a company-wide dashboard for senior leadership. • Queried and analyzed employee survey data in R to derive themes and actionable insights into employee satisfaction within the company.

• Analyzed Amazon E-Commerce model to develop data-driven marketing strategies and assist Brand and Marketing teams on how to increase customer engagement.• Utilized text mining and NLP techniques on consumer sentiment data from social media platforms to identify key drivers and patterns in buyer preferences and enhance brand visibility.• Automated the modeling and extraction process of base and promoted price elasticities of consumer data from the Sequoya analytics platform. Used to create brand-level pricing decks and depict a current assessment of Pfizer’s promotional strategies.

• Worked on projects that required analyzing big data and creating solutions with Amazon Web Services for the various business needs of the company - Marketing Evolution. • Built model predictive of quarterly sales growth by extracting, pre-processing, and analyzing over 50 GB of data stored in AWS Cloud. Presented key insights on industry trends, customer preferences, and growth opportunities to the CEO of Marketing Evolution.

Assisted and instructed students one-on-one and in groups to increase their understanding of applied and theoretical statistical concepts and improve their problem solving