FP&A · Financial models · Excel automation

Less spreadsheet. More finance.

I build financial models, reports and Excel automations for teams that run the same data-heavy process again and again. Fifteen years in finance, from EY audit to Global Finance Director.

  • FCCA
  • FMVA®
  • BIDA®
  • Ex-EY audit
One run of a recurring processHours per run
TaskBeforeAfter
Pull exports from ERP, bank and CRM1.5 h6 min
Clean, map and reconcile the data3.0 h12 min
Apply the business rules2.5 h12 min
Combine entities and files2.0 h12 min
Build the report or pack3.0 h18 min
Review and commentary2.0 h2.0 hstays human
Total14.0 h3.0 h
Illustrative. It could be a close, a VAT run, a pricing update or a weekly report. The judgment stays with you; the copying, mapping and rebuilding doesn't.
  • Financial models
  • Budgets and forecasts
  • Excel automation
  • AI-assisted workflows
  • Data cleaning and mapping
  • Reporting automation
  • Board packs
  • Python and VBA
  • Consolidation
  • Cash-flow forecasting
  • Excel add-ins
  • Model reviews

Services

Which of these sounds familiar?

Three ways to work together. Start with a call: you describe the work, I tell you what I think is worth building, and you get a fixed scope before anything starts.

01FP&A & financial models

“The board wants a forecast, and our model is held together with hardcodes.”

What changes

  • A three-statement model that balances, and that someone else can update
  • A monthly pack the board can read in ten minutes
  • Scenarios at the flick of a switch
Fixed quote

Scoped on a first call, then priced per project.

03Automation systems

“Month-end runs across a dozen files, three teams and the one person who knows how it fits.”

What changes

  • One internal tool with its own Excel ribbon
  • Checks that stop bad inputs before they spread
  • Documented, so it no longer depends on one person
from$5,000

Estimated for an 80-hour build.

How it runs

From first call to handover in about three weeks.

A typical single-workflow automation. Larger systems take five to six weeks; models depend on scope. If something won't automate reliably, you hear it after the first call, before any build starts.

  1. Discovery callYou walk me through the work in Excel.
    Week 1
  2. Feasibility & planA written plan, or an honest “this won’t automate well”.
    Week 1
  3. BuildThe tool, its buttons and its error handling.
    Weeks 2–3
  4. Test with your dataNormal months, messy months, odd inputs.
    Week 3
  5. HandoverA call, a user guide, documentation.
    Weeks 3–4
  6. SupportFixes and small changes, 14–30 days.
    Week 4 and after

Recent work

Repeated work, turned into tools.

A few of the tools built for clients, with names left out.

Manufacturing

Inventory costing and WIP

3 hsaved on every run

Before
Each month, transactions were sorted by hand into materials, work in progress and finished goods, then costed.
After
An Excel add-in extracts the transactions, classifies them and runs the costing and WIP calculations for the monthly statements.

E-commerce

Marketplace sales and EU VAT

OSSrules applied automatically

Before
Invoices from marketplace sales were checked one by one for VAT numbers, numbering gaps and OSS treatment.
After
An add-in validates VAT registrations, checks invoice numbering and handles One-Stop-Shop rules for EU transactions.

Energy

Electricity price data

1 clickfrom publication to workbook

Before
European Commission price publications were copied into spreadsheets by hand before any analysis could start.
After
An add-in parses the published data and loads it into a workbook that is ready for analysis and reporting.

Software

Tools for people who live in Excel.

Add-ins and web apps that came out of client and in-house work, now available to everyone.

Excel add-in

Minty Tools for Excel

The add-in I use on every model: 30+ features to audit formulas, trace references, format and navigate large workbooks faster.

  • 30+ features
  • Formula auditing
  • Built for financial models

Excel add-in

Model Hardcodes & Risk Scanner

Finds 10+ kinds of model risk (hardcodes in formulas, external links, volatile functions, errors) and writes a linked risk report.

Web app

Minty Assets

Fixed-asset register and depreciation manager, with journal entries and reports.

On the workbench

  • Monte Carlo SimulatorExcel add-in

    Probability simulations inside Excel: seven distributions with live charts.

  • Source-to-Output Trace MapExcel add-in

    Maps every dependency from an output cell back to its inputs, and flags the risky ones.

  • Minty LeasesWeb app

    IFRS 16 and ASC 842 lease calculations: schedules, journal entries and disclosures.

Want early access? Get in touch

Looking for WhisperTray, Minty PDF, Minty Studio or my other apps? You'll find them at dobromirdikov.com.

Portrait of Dobromir Dikov

Dobromir DikovFounder · FCCA, FMVA®, BIDA®

About

I’ve done this work by hand. Now I build the tools that do it.

I started in audit at EY and spent the next decade building finance functions from the inside: controlling, IFRS consolidation, M&A and FP&A, in both startups and multinationals. Today I am Global Finance Director of an international manufacturing group.

Through Minty Analyst I help other companies with the same kind of work: financial models that need to hold up, reports that take too long to put together, and data-heavy processes that are still repeated by hand.

I design the logic, the checks and how the tool fits your team; AI writes most of the code, and I test every result against the numbers before you see it.

In finance
15+ years
Worked with
50+ companies
Raised on my models
$50m+

Career: EY → Leader 96 → Sandvik → HALO Diagnostics → Magnimetrics → Milara International

Full profile on LinkedIn

Get in touch

Tell me about the work.

Describe the model, report or process. I reply within two working days with suggested next steps, even if that's “you don't need me for this”.

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