Results-driven professional with expertise in financial analysis and business intelligence, honed at Max Life Insurance. Proven track record in enhancing operational efficiency and revenue through dynamic forecasting and strategic planning. Skilled in Excel and data modeling, with strong collaboration abilities to drive cross-functional success.
Data Analytics & Tools: Excel, Power Query, Macros, VBA, PivotTables, Array Functions, SQL, Python, R, Alteryx, Data Bricks Tableau, Power BI
Core Competencies: Performance Metrics, Financial Strategy, Financial Analysis, Financial Planning, Forecasting, Cost Analysis, Scenario Analysis, Sensitivity Analysis, Key Metrics, Account Reconciliation, Supply Chain Analytics, Logistics Optimization, Operational Enhancement, Business Intelligence, Data Modeling, Predictive Modeling
Financial Performance Analysis Project – Led a 5-year financial benchmarking provided insights with LRP and US GAAP.
DCF Valuation – Target Corporation – Created DCF models with WACC, pricing strategy, and sensitivity analysis.
Healthcare Predictive Analytics – Kaiser Permanente – Simulated heart disease risk scenarios using Python, logistic regression, and A/B testing to predict outcomes and deliver actionable insights for strategic stakeholder decisions.
Pharmacy Retailer Market Analysis – Performed ETL, regression, and profitability analysis in Excel, modeling retail growth strategies.
SQL Reporting & Data Architecture – Velvet Vanity – Designed an IE-notated relational database and E-R diagram to support business operations, incorporating PK/FK logic and optimized reporting via KPI dashboards.