• Partnered directly with Chase CFO to holistically understand customer growth performance and identify LOB and marketing investment strategy to reach 2030 OKRs• Managed operating model with strategy and finance partners to provide critical analytical requests from C-suite stakeholders for key internal and external events• Led analytical efforts of large cross-functional team to strategically pivot storyline for JPMC investor day

• Guided program design of JPM Private Client by evaluating money movement, spending behavior, and opportunity sizing of Affluent clients• Discovered operational discrepancy and opportunity to optimize procedure, reducing risk exposure by $9.6B• Evaluated product ownership and usage behavior of various customer segments to revamp product strategy, better aligning clients to future slate of deposit products

• Spearheaded project to create market and consumer segmentation that would drive media tactics, pricing, and leading products• Collaborated with various functional teams to strategize and implement end-to-end, holistic solutions for key business questions• Identified key drivers of market penetration and recommended strategy to address underpenetrated markets

• Partnered with stakeholders to provide analytic insights and recommend business actions for improving relevant KPIs such as conversion rate, revenue, and churn • Designed controlled experiments to evaluate effectiveness of direct mail campaigns in converting prospects for Comcast Business, resulting in reallocation of $2.2MM DM media budget to better optimize media spend • Analyzed churn impact of including promo roll message on customer’s bills by applying matched pair analysis

• Initiated project to optimize promotional offers, identifying areas with potential cost saving of $15.6MM • Determined which variables impact total sales by building predictive models, taking into account historical offers and competitive landscape• Presented analysis, business value, and recommendations for future offers to executive leadership group

• Consulted on team of 6 to forecast large company layoffs across the country 6 months in advance• Achieved over 60% accuracy in predicting layoffs (rare event) by building tree-based classification models, such as random forest and gradient boosted models• Collected, cleaned, and feature engineered large data sets using Python• Presented project deliverables and business application of model to senior leadership team and C-suites

• Created and pitched business plans to investors, securing and maintaining $600K startup seed funding• Conducted market research to identify market gaps, consumer behavior, and beachhead of meal kit industry• Directed cross-functional team of 10 and coordinated marketing, sales, product development, and operations• Strategized and executed expansion to national market, increasing sales by 500%+ over a 3-month period

• Mentored and tutored students individually and in small groups for various calculus courses• Presented subject matter to 100+ students in conjunction with professors through Q&A sessions