Lead analytics across PayPal’s SMB, Solopreneurs, and VAS portfolios—driving portfolio growth, GTM strategy, and executive-facing insights. Manage a hybrid team of analysts and data scientists focused on segmentation, forecasting, experimentation, and causal inference.

• Oversee modeling, targeting, and statistical testing to support commercial decision-making

• Guide data science and automation projects, including chatbot tools and root cause diagnostics

• Build scalable analytics solutions using SQL, Python, Tableau, Looker, and BigQuery

Owned analytics for SME program for five key PayPal products—Venmo, BNPL, QR, Payouts, and Risk-as-a-Service—partnering with GTM and Sales to drive performance visibility and commercial insights.

• Led deep dives on rep forecasting, pipeline efficiency, and sales cycle optimization

• Built dashboards and reporting frameworks for adoption trends and revenue diagnostics

• Standardized sales data processes to improve data quality and executive readiness

• Collaborated with data scientists on experimentation, statistical analysis, and campaign testing

• Tools: SQL, Tableau, Python, Salesforce

Analyzed Amazon’s returns and liquidation ecosystem to improve recovery rates, customer experience, and operational efficiency. Built a financial model, evaluated build/buy/partner options, and presented strategy recommendations influencing 2024 volume planning.

Led analytics initiatives for global CPG and retail clients, using survey data, text mining, and deal benchmarking to uncover insights on brand strength, M&A strategy, and analytics maturity. Delivered work that shaped client conversations and contributed to Deloitte Insights publications featured in media and academic platforms.