mohamad

keyvanfar

Built an anonymized FP&A model to evaluate revenue growth, EBITDA margin, liquidity, leverage and working-capital efficiency across 2021-2028. PROJECT OVERVIEW A portfolio case study showing how financial statements can be converted into an FP&A model for revenue forecasting, margin analysis, liquidity review and management recommendations. BUSINESS PROBLEM The company needed to understand whether a growth strategy could improve profitability without creating liquidity pressure or excessive leverage. TOOLS & METHODS Financial ratio analysis, Revenue and EBITDA forecasting, Working-capital KPI analysis: AR days, inventory days, AP days and cash conversion cycle, Scenario-based FP&A reporting, Executive recommendation writing KEY OUTPUTS A dashboard-ready Excel model and PDF case study covering financial ratios, revenue and EBITDA forecasts, working-capital indicators and executive insights. SKILLS TAGS FP&A, Excel Modeling, Financial Ratio Analysis, Forecast

Developed a market intelligence case for a CHP/distributed-energy business, covering market sizing, competitor shares, segment demand and sales-channel scoring. PROJECT OVERVIEW A business analytics case study focused on market sizing, competitor benchmarking, customer segmentation and sales-channel strategy for an industrial energy market. BUSINESS PROBLEM The company needed to decide where to grow, which customer segments to prioritize and which sales channels could produce sustainable market access. TOOLS & METHODS Market sizing and share scenario modeling, Competitor benchmarking, Customer-segment prioritization, Sales-channel scoring matrix, Strategic recommendation writing KEY OUTPUTS A PDF case study and dashboard-ready dataset covering market growth, market share, competitor capacity, segment demand and channel scoring. SKILLS TAGS Market Intelligence, Competitor Analysis, Sales Channel Strategy, Excel, KPI Design, Business Analysis

Documented a predictive analytics workflow for estimating ROA, ROE, liquidity and leverage from ownership-structure variables using RSM, ANN and GA-optimized ANN logic. PROJECT OVERVIEW A financial analytics case study documenting how financial ratios can be predicted from ownership-structure variables using RSM, ANN and GA-optimized ANN model logic. BUSINESS PROBLEM Decision-makers need early indicators of profitability, liquidity and leverage risk before the financial condition becomes visible in ordinary reporting. TOOLS & METHODS Financial ratio target definition: ROA, ROE, Current Ratio and Leverage, Predictor definition based on ownership structure, Model comparison: baseline, RSM, ANN and GA-optimized ANN, Accuracy benchmarking using R2, Business rules for early-warning interpretation KEY OUTPUTS A PDF case study and model documentation file covering predictor fields, target ratios, model comparison, accuracy metrics and early-warning business rules. SKILLS TAGS Financial A