About
MBA Finance professional with hands-on experience in financial analysis, MIS reporting, budgeting, forecasting, and variance analysis. Strong expertise in Advanced Excel, Power BI, Tableau, and dashboard automation to support management decision-making. Experienced in KPI tracking and data-driven financial reporting.
Skills & Expertise (23)
Work Experience
Sales & Profitability Dashboard Developer
E-Commerce
Present - Present
Built an interactive Power BI dashboard analysing ₹438K+ total sales, 5,615 units sold, and ₹37K profit, providing a consolidated view of business performance. Created KPI cards for Sales, Quantity, Profit, and ₹121K Average Order Value (AOV) to support quick management decision-making. Conducted monthly profit trend analysis, identifying 4 loss-making months (May–August) and recovery trends in Q4, enabling profitability insights. Analysed payment mode distribution, revealing COD dominance at 43.7%, followed by UPI (20.6%) and Cards (25%+), highlighting cash-flow risk areas. Delivered category-level insights, identifying Clothing as the top category (62.6% of quantity sold), supporting product-mix optimisation.
Financial Performance Dashboard Developer
McDonald’s
Present - Present
Developed an end-to-end Tableau dashboard to evaluate 20-year financial performance (2002–2022), focusing on growth, margins, capital structure, and shareholder returns. Performed trend and variance analysis, identifying Revenue CAGR-driven growth of 50.6% and EPS expansion of 370.5%, reflecting pricing power and operating leverage. Evaluated profitability ratios, observing Operating Margin improvement from 10.7% to 39.3%, indicating strong cost control and efficiency gains. Analysed balance sheet and capital allocation, comparing Total Assets growth ($23.9B → $50.4B) with debt levels to assess financial leverage, liquidity, and ROIC improvement.
Sales & Customer Analytics Dashboard Developer
Retail
Present - Present
Analysed 31,000+ transactions covering 12 months of retail sales and order data using Power BI. Tracked monthly sales vs order volume, identifying peak performance during Q1–Q2 and toward year-end. Identified customer gender contribution, with women accounting for 64% of total orders and revenue. Assessed order fulfilment efficiency, where 92% of orders were successfully delivered, with the remaining 8% comprising cancellations, returns, and refunds. Evaluated 6 sales channels, with Amazon (35%), Myntra (23%), and Flipkart (22%) contributing the majority of orders, and identified the Top 5 states and cities driving overall sales.
Education
MBA in Finance & Business Analytics - Reva University
2023 - 2025 · Afghanistan
Certifications
Managing Clean Core for SAP S/4HANA Cloud
· 2025
Microsoft Power BI for Data Analysis and Visualization
· 2024
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Citizen
Relocation
Open to Relocation
Skills (23)
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