Financial analysis & forecasting
Budget-to-actual analysis, driver-based forecasting, working-capital thinking, reconciliations, and clear management reporting.
I’m Faiz Chhapra, a finance professional working across financial analysis, forecasting, valuation, and investment research. I use data and automation where they sharpen the financial judgment, not replace it.
My strongest work starts with the economics of the problem: business drivers, cash flows, risk, and decision context. The tools follow from there.
Budget-to-actual analysis, driver-based forecasting, working-capital thinking, reconciliations, and clear management reporting.
DCF reasoning, fundamental analysis, portfolio context, credit risk, and investment conclusions grounded in primary evidence.
Excel, SAP, Power BI, Python, SQL, and R used to structure information, automate repeatable analysis, and surface decision-relevant patterns.
The underlying analyses exist; the public case studies are being upgraded to professional standards. Nothing here is presented as more complete than it is.
See the work roadmap →A forecasting and valuation framework using macroeconomic indicators, scenario thinking, fundamental analysis, and portfolio context.
Equity research grounded in company filings, earnings materials, valuation work, and a clearly stated investment view.
An early interactive experiment for turning income, expense, and age inputs into planning-oriented financial observations.
These are educational simulations, not claims of investment performance. They make financial trade-offs visible and invite visitors to engage with the reasoning.
Choose, compare, and confirm decisions across capacity, pricing, M&A, rates, and reforecasting.
Adjust income, expenses, debt, and age to see cash-flow capacity, an essential buffer range, and a contribution runway.
A condensed view here; the résumé provides qualification, while this site provides context and evidence.
Explore my journeyBudget-to-actual analysis, product-level spending review, SAP transaction analysis, and recurring financial reporting.
Revenue modeling, financial dashboards, reconciliations, and performance reporting designed to make decisions easier.
Long-horizon economic data integration, regression and time-series work, and concise briefs for senior stakeholders.
Asset Management specialization with a Data Analytics in Finance concentration.
The important question is not whether I know a tool. It is what financial problem I can structure, what evidence I can produce, and how clearly I can communicate the answer.
Budget-to-actual analysis, driver-based forecasting, product spending, working capital, and variance investigation.
Output · Management view
DCF reasoning, scenario analysis, sensitivities, capital budgeting, WACC, and financially grounded recommendations.
Output · Model + recommendation
Company filings, earnings materials, macroeconomic context, fundamental analysis, and portfolio-aware thesis development.
Output · Investment memo
Excel, SAP, Power BI, Python, SQL, and R used to reconcile, automate, investigate, and communicate repeatable analysis.
Output · Reliable workflow
I’m interested in finance roles and conversations where careful analysis improves decisions across corporate finance, valuation, and investment research.