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Startup Financial Model — 3-Year Excel Model for Early-Stage Businesses
A complete, investor-ready financial model built for newly established businesses, delivered as a fully dynamic Excel workbook (9 linked tabs, 685+ live formulas, zero hardcoded outputs).
What's included:
1.Startup Costs — itemized pre-launch capital requirements with contingency buffer
2.Revenue Build — multi-stream revenue modeling with monthly detail for Year 1 and 3-year projections
3.Operating Expenses — fully categorized cost structure with annual escalation
4.Break-Even Analysis — automated contribution margin, break-even point, and margin of safety, with a visual chart
5.3-Year P&L Forecast — full income statement from revenue down to net income, monthly + annual
6.Cash Flow & Cash Requirement — monthly runway analysis with receivables/payables timing, pinpointing exactly when and how much additional cash is needed
7.Funding Requirement — Sources & Uses summary that ties out automatically, producing a clear capital ask
Why it stands out:
Every number is a live formula, not a static output — change one assumption and the entire model (break-even, forecast, cash runway, funding ask) recalculates instantly
Color-coded inputs (blue), formulas (black), and cross-sheet links (green) so any user can navigate and edit safely
Built to professional modeling standards — clean formatting, documented assumptions, verified formula integrity
Ideal for: founders raising a pre-seed/seed round, small business owners applying for a loan, or accelerator/incubator applicants who need a credible, lender/investor-facing financial model fast.
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I made this Nexabank Financial Dashboard for my client.
Which one is looking better?
Let me know your thoughts.
3 voted
43%
4 voted
57%
7 votes
Closed
Option 2 for me — it feels cleaner and easier to scan, while keeping the KPIs and charts visually clear. Both are well structured, but Option 2 feels more presentation-ready.
I designed a Business Intelligence and financial reporting solution that transforms scattered data from multiple sources into centralized, validated, and decision-ready information.
The solution automates the complete reporting workflow: connecting and consolidating data, cleaning and standardizing information, applying business rules, building a structured data model, calculating financial KPIs, and generating executive dashboards and recurring reports.
Instead of manually combining spreadsheets and preparing reports every reporting period, the workflow creates a repeatable data pipeline that reduces manual work while improving consistency, traceability, and visibility.
Key capabilities include:
Multi-source data consolidation
Automated ETL and data transformation
Data validation and quality controls
Power Pivot data modeling
Financial KPI calculations
Interactive executive dashboards
Automated and scheduled reporting
Exception and duplicate detection
Audit trails and process traceability
Technologies: Excel, Power Query, Power Pivot, VBA, DAX, SQL/CSV data sources and automated reporting workflows.
The goal of the project is not simply to create a dashboard, but to build the automated data process behind it — turning raw information into reliable insights that can support faster business decisions.
All information, companies and metrics displayed in this case study are fictional demo data created exclusively for portfolio purposes.
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