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.