Range is useful. Rigor is the through line.

Develops domain-specific prompts, test cases, and scoring rubrics for large-language-model evaluation in economics, finance, mathematics, and actuarial-style risk reasoning. Performs quantitative QA, edge-case testing, and error-taxonomy analysis covering hallucinations, unit and scale errors, base-rate neglect, causal-versus-correlational claims, constraint failures, discounting logic, and risk/return framing. Documents reproducible findings for model improvement while maintaining strict confidentiality.

• LLM evaluation
• Rubric design
• Error analysis
• Quantitative QA
• Multimodal review

Returned with expanded responsibility for economic analysis and presentation development. Evaluated real GDP, consumer sentiment, inflation expectations, household credit, Treasury yields, and financial-stability risks; built charts from economic data; and helped shape and present an evidence-based federal funds rate recommendation.

Completed Oracle’s 15-week REACH Summer Engagement Program with role-focused bootcamps in Consulting, Sales, and Product Development. Strengthened technical problem-solving through HackerRank coding-assessment training centered on algorithms and clean implementation.

Selected for a merit-based research scholarship with access to Bloomberg Terminal and FactSet. Built multi-stage DCF models, calibrated WACC and beta assumptions, and ran Monte Carlo, sensitivity, VaR, and drawdown analyses. Synthesized macro conditions, sector signals, and valuation evidence into an investment thesis and presented conclusions to UBS and Updata Partners executives.

Built an Excel-based three-statement model and DCF for Target Corporation, triangulated value with trading comparables and sensitivity analysis, produced an investment memo and pitch deck, and defended the recommendation in judges’ Q&A. The team placed first for analytical rigor, modeling accuracy, and clarity.

Analyzed inflation, real GDP, unemployment, consumer spending, interest rates, and financial-market conditions; contributed to a monetary-policy recommendation; and helped prepare the competition presentation. The team achieved a top-quartile result.

Supervised daily operations and staff performance, maintained workforce records, implemented procedures, tracked project progress, provided timely feedback, and resolved customer concerns while protecting service quality and operational accuracy.

Maintained and reconciled general-ledger accounts, processed accounts payable and receivable, supported month-end close, prepared core financial statements, and reviewed entries and supporting records for accuracy and completeness.

Delivered product guidance and customer service in fine jewelry, processed point-of-sale transactions, supported inventory and security controls, prepared daily sales reports, resolved customer concerns, and used consultative selling to support revenue.