Ashlesha Kamble

Finance and Data Analytics professional with hands-on project experience in financial analysis, forecasting, portfolio analytics, SQL-based analysis, and business intelligence. Skilled in Excel, SQL, Python, Power BI, and Tableau, with experience building financial models, analyzing business performance, developing KPI dashboards, and presenting decision-focused insights. Seeking entry-level opportunities in Data Analytics, Financial Data Analytics, FP&A, and Financial Analysis.

PROJECTS

Financial Performance Analysis & Forecasting – Asian Paints

Built an Excel-based financial analysis and modelling solution using five years of Asian Paints’ consolidated annual reports. Standardized the income statement, balance sheet, and cash-flow statement and evaluated 25+ financial metrics and analytical measures across revenue, profitability, liquidity, solvency, efficiency, working capital, cash flow, and returns. Developed a driver-based model for FY27–FY31 covering financial forecasting, scenario analysis, working capital, CapEx, NOPAT, FCFF, and DCF valuation.

Estimated an intrinsic-value range of INR 450–853 per share and identified revenue growth, operating margins, working-capital efficiency, and WACC as key value drivers.

Tools and skills: Excel, Financial Statement Analysis, Financial Modelling, Forecasting, Scenario Analysis, Ratio Analysis, Working Capital Analysis, Cash Flow Analysis, FCFF, DCF Valuation

Quick Commerce Customer & Revenue Analytics Dashboard

Developed an end-to-end SQL and Power BI analytics solution using 22K+ quick-commerce orders across Blinkit, Zepto, and Swiggy Instamart. Used MySQL, CTEs, window functions, data validation, relational data modelling, and star-schema design to analyze customer retention, reorder behaviour, purchasing patterns, platform performance, and revenue concentration. Created DAX measures and interactive KPI dashboards with dynamic filters, identifying that the top 10% of customers generated 49% of revenue and the top 10% of products contributed more than 60% of sales.

Tools and skills: SQL, MySQL, Power BI, DAX, Data Validation, Data Modelling, Star Schema, KPI Reporting, Dashboard Development, Customer Analytics, Revenue Analysis

Finance and Risk Analytics

Expanded an earlier portfolio-analysis project into a Python-based workflow using Yahoo Finance market data. Processed 2,480+ records across 10 stocks and four sectors, implementing data validation, transformation, error handling, and cross-verification of portfolio metrics between Python and Power BI. Performed five-year time-series and risk-return analysis using annualized return, volatility, cumulative return, and Sharpe ratio.

Evaluated moderate and aggressive portfolio strategies and developed Tableau and Power BI dashboards, along with automated PDF reports, to support investment-performance and capital-allocation analysis.

Tools and skills: Python, Pandas, NumPy, Yahoo Finance API, Power BI, Tableau, Data Validation, Time-Series Analysis, Portfolio Analysis, Risk-Return Analysis, Data Visualization, Automated Reporting

Financial Modeling and Valuation with AI - Internshala Trainings (July 2026)

Executive Post Graduate Programme in Data Science & Artificial Intelligence | IIIT Bangalore (2025)

Specialization in Data Analytics and Business Intelligence

MBA in Finance (2025)

Bachelor of Engineering in Electronics and Telecommunication | PICT, Pune