Financial Modeling
Three-statement modeling, forecasting, revenue and cost drivers, integrated statements, cash flow modeling, scenario analysis, sensitivity analysis and FP&A decision support.
Finance + AI Transformation
Daniel Sibanda, MBA, FMVA
Financial Analyst | AI Finance Systems Builder | Analytics Professional
I combine corporate finance, financial modeling, valuation, FP&A, business intelligence and data analytics with AI and automation to evaluate performance, forecast outcomes, identify risks and support better business decisions.

MBA
Business Systems & Analytics
FMVA
Financial Modeling & Valuation
Microsoft Certified
Power BI Data Analyst
AI Finance
Systems Builder
Expertise
Core capabilities across financial modeling, valuation, FP&A, corporate strategy, business intelligence, data analytics, AI and automation.
Three-statement modeling, forecasting, revenue and cost drivers, integrated statements, cash flow modeling, scenario analysis, sensitivity analysis and FP&A decision support.
DCF valuation, Comparable Company Analysis, Precedent Transaction Analysis, enterprise value, equity value, WACC, CAPM, trading multiples, implied valuation ranges and investment appraisal.
Forecasting, budgeting, variance analysis, management reporting, KPI monitoring, performance assessment, business planning and decision support.
Strategic planning, capital allocation, investment evaluation, competitive analysis, scenario planning and data-informed corporate decision support.
Power BI, executive dashboards, KPI monitoring, financial reporting, DAX, Power Query and management decision-support systems.
Python, SQL, predictive analytics, machine learning, statistical analysis and data-driven business decision making.
AI-enabled finance analysis, intelligent workflows, LLM applications, analytical software and decision-support systems.
AI agents, APIs, MCP, n8n, workflow automation, financial process automation and enterprise system integration.
Portfolio
Finance, analytics and AI-enabled work spanning financial intelligence, integrated modeling, ESG analytics, predictive risk and agentic finance.
AI & Finance
AI-Powered Financial Intelligence Platform
A financial intelligence platform combining financial analysis, SEC filing intelligence, forecasting, valuation, investment appraisal, macroeconomic monitoring, business performance intelligence and AI-assisted strategic decision support.
Analytics & Research
Fortune 500 — 2021
An independent analytics study examining whether higher Environmental, Social and Governance (ESG) scores are associated with stronger profitability and valuation among Fortune 500 firms.
Machine Learning & Analytics
Fortune 500 Insights
A financial-risk analytics project using machine learning, financial ratios and explainable AI to estimate firm-level distress probabilities and support earlier financial risk detection.
Agentic AI & Finance
Agentic Finance Automation Architecture
An intelligent finance operations architecture connecting AI agents with Excel, Power BI, PostgreSQL, APIs, ERP systems, accounting platforms and workflow automation.
Financial Modeling & Valuation
Integrated Three-Statement Model, FP&A, Scenario Analysis & Valuation
An integrated Excel model evaluating Nike's operating recovery scenario — linking FP&A forecasting, three-statement modeling, scenario and sensitivity analysis, DCF valuation, trading comparables, precedent transactions and investment appraisal.
Driver-based FP&A forecasting covers revenue, gross margin, operating costs and earnings across a six-year horizon.
The model links the income statement, balance sheet and cash flow statement through a circular calculation engine.
Scenario analysis is controlled through a master scenario selector and independent driver switches with full DCF sensitivity matrices.
DCF, trading comparables and precedent transactions contribute to a football-field valuation summary.
Project-level NPV, XIRR and structured recommendation framework support milestone-based funding decisions.

About
I work at the intersection of finance, financial modeling, valuation, corporate strategy, business analytics, business intelligence, artificial intelligence, software development and automation. My focus is building analytical and intelligent systems that help organizations move from historical reporting toward forward-looking decision support.
I build financial models, valuation frameworks, analytics systems and AI-enabled tools that help organizations understand performance, forecast outcomes, evaluate investments, allocate capital, identify business risks and make stronger strategic decisions.
With an MBA in Business Systems & Analytics, Bachelor of Accountancy (Honours), FMVA and Microsoft Certified Power BI Data Analyst credential, I combine a disciplined accounting and finance foundation with modern analytics, business intelligence and AI software capabilities.
Capabilities
Structured across finance, analytics and AI — supporting financial analysis, decision support and intelligent systems.
Forecasting, budgeting, variance analysis, management reporting, KPI monitoring, performance assessment and financial decision support.
Three-statement modeling, forecasting, revenue and cost drivers, integrated statements, cash flow modeling, scenario analysis and sensitivity analysis.
DCF valuation, Comparable Company Analysis, Precedent Transaction Analysis, enterprise and equity value, WACC, CAPM and investment appraisal.
Strategic planning, capital allocation, investment evaluation, competitive analysis and translating financial intelligence into business decisions.
AI-enabled finance tools, intelligent workflows, LLM applications, analytical software and decision-support systems.
Power BI, dashboards, predictive analytics, KPI monitoring, business intelligence and data-driven decision support.
Education & Credentials
MBA
Business Systems & Analytics
BAcc (Hons)
Accounting & Finance Foundation
FMVA
Microsoft Certified
Bloomberg
Research & Insights

ESG · Financial Analytics
An empirical Fortune 500 analysis examining relationships between ESG scores, profitability, valuation multiples and sector performance using Python, econometric modeling and Power BI.
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AI · Finance
Exploring how artificial intelligence, financial modeling, structured financial data and automation can work together to improve financial decision-making.
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Agentic AI · Automation
Exploring the evolution from traditional financial models toward intelligent AI agents capable of supporting continuous financial analysis, automation and decision workflows.
Read articleContact
Whether you're hiring for finance and analytics talent, exploring AI-enabled finance solutions, or interested in collaborating on intelligent business systems — recruiters, finance leaders, hiring managers, founders, technology teams and analytics professionals are all welcome to connect.