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Sheet Solved

Data and software consultancy

Complexity,
Solved.

I build the data and software systems a business actually runs on — the pipeline that feeds it, the model behind the decision, and the application that puts both in front of someone.

Start a conversationSee what I've built

Approach

Complex shouldn't mean complicated.

Your business carries real complexity, and modelling it properly matters. The thing you use every day should still be simple to run and safe to change.

Most of what I'm asked to fix was built once, quickly, for a situation that has since changed, and then relied on for years afterwards. The work is usually about making the logic explicit enough that somebody other than its author can change it without breaking it.

Services

What I'm usually brought in to do.

  • 01

    Data pipelines

    Data pulled out of the systems it lives in and landed somewhere you can query it, on a schedule, without anyone watching.

  • 02

    Models and forecasting

    Quantitative models that publish their own accuracy, so you know what to trust them for.

  • 03

    Applications and dashboards

    Software and reporting that produce the answer, so nobody spends an afternoon assembling it.

  • 04

    Automation

    The repetitive half of a monthly process removed, so the cycle stops costing a week of somebody's attention.

  • 05

    Spreadsheets, done properly

    Built to hold up where a spreadsheet is the right answer, and lifted into code where it has stopped being one.

  • 06

    Technical leadership

    Standing in as the technical lead a small team doesn't have: architecture, review, and the pipeline that enforces both.

Practice

Embedded technical leadership.

I work as the technical lead for companies that need one without hiring one: advising the executive on the build-versus-buy call, owning the architecture, and drafting the scope then delivering against it.

In practice that has meant ETL pipelines feeding time-series stores, dashboards, internal admin systems, and the CI that keeps them honest.

Before consulting, quantitative roles across asset management, management consulting, e-commerce and technology — for large listed companies down to micro enterprises.

The name is where this started. A spreadsheet is usually the first place a business writes its real logic down, so it's still where a good number of engagements begin. It's no longer where most of them end.

Built

The same standards, applied to my own work.

All projects →

Consulting work belongs to the client, so these are what I can show. Each one is running, published, or both, and each shows the method as well as the result.

tidylearn

Released

One tidyverse-shaped interface over R's machine learning ecosystem.

  • R
  • tidyverse
  • glmnet
  • xgboost
  • randomForest
  • ggplot2
  • gt
CRAN DocumentationSource

Ready Before Run()

Ongoing

A practical guide to the infrastructure data science assumes you already have.

  • Quarto
  • R
  • Python
Visit Source

tokenwise

Released

Which Claude Code model and effort level a piece of work needs.

  • Claude Code
  • Node.js
Documentation Source

Writing

Ces's random twalks on tech and stats.

All posts →

Contact

Tell me what's not working.

A process that costs too much attention, a number nobody can trace, a model that has outgrown where it lives. I'll tell you what I'd do about it before you have to commit to anything.

cesaire@sheetsolved.com

Cape Town, South Africa