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Explored 13,050 global wine records to map how type and geography influence price and quality. Sparkling wines led on both metrics while Rosé lagged; t-tests confirmed statistically significant differences across regions and informed sourcing strategy.
Built correlation, single, and multiple regression models connecting price with rating, vintage, and rating counts. Identified sparkling wines as premium outliers and delivered a Tableau dashboard plus data roadmap for more robust pricing decisions.
Tested gender-based billing differences and seasonal payment shifts. Men carried ~$125 higher balances and September payments surpassed April by ~$15, shaping acquisition and retention tactics for marketing and finance.
Analyzed 26k SKUs to measure Walmart’s pricing delta. ANOVA and Fisher intervals confirmed Walmart’s consistent undercut across major competitors, inspiring recommendations for precision price lifts and bold price-match messaging.
Modeled EPS via EBT, operating margin, and pre-tax margin. Highlighted EBT as the strongest lever, flagged negative margin relationships, and framed the model as directional guidance with future data-expansion plans.
Built a debt prediction model using demographics and financial behavior. Identified key predictors, surfaced multicollinearity watch-outs, and provided actionable targeting for consolidation outreach teams.
One-page overview connecting analytics coursework to client-facing wins. Features technical toolkit mastery, campus leadership, and quantified consulting outcomes ready for recruiter review.