Services
Services that drive results
Practical data science solutions designed for SMEs. No jargon, no unnecessary complexity, just results that matter to your business.
Make sense of what you have
Analysis and reporting
Get clear answers from the data you've already got. Forecasts, segmentation, margin analysis, the work that turns spreadsheets and exports into decisions you can actually act on.
- Forecasting and demand planning
- Margin and profitability analysis
- Customer and product segmentation
- Operational and KPI reporting
- Exploratory analysis on messy data
When patterns matter
Machine learning, when it earns its place
Predictive models that solve a specific problem, not science projects. I'll tell you when ML is the right tool and when a SQL query would do the same job for less.
- Predictive modelling and forecasting
- Classification and segmentation
- Anomaly and outlier detection
- Recommendation systems
- Model evaluation and honest accuracy reporting
Build the foundation
Lightweight data engineering
The plumbing that makes everything else possible. Pipelines, automations, and small tools that move data from where it is to where it needs to be, without standing up a full data platform.
- ETL and data pipelines
- Data cleaning and validation
- Database setup and tuning
- Automated reporting jobs
- APIs and small backend services
Beyond the spec
Working with your team
Most data work fails because the brief was wrong, not the model. I'll get involved with your team, ask the awkward questions, and push back when the spec doesn't match the real problem.
- Scoping the real problem, not the assumed one
- Working sessions with technical and non-technical staff
- Translating between business questions and technical answers
- Reviewing existing analyses and models
- Helping internal teams ship the work after I'm gone
How I price the work
Fixed scope for most engagements. Monthly retainer when the work continues.
Most engagements
Fixed project
Written scope, fixed price, clear deliverables and timeline. Most engagements run 2 to 6 weeks.
Book a scoping call →Ongoing cover
Monthly retainer
Ongoing support after a project, or a set number of hours per month for continuous work.
Book a scoping call →All projects start with a scoping call.
Common questions
What tools and technologies do you use?
Python ecosystem (Pandas, Scikit-learn, TensorFlow), Plotly/Matplotlib for viz, PostgreSQL/MySQL/MongoDB for databases, and cloud platforms (AWS, GCP).
How long does a typical project take?
Simple analysis: 1 to 2 weeks. Full ML solution: 6 to 12 weeks. I provide realistic timelines during consultation.
Do you work remotely?
Yes. I work with clients globally with regular video calls for alignment and updates.
What if I don't have clean data?
That's normal. Data cleaning is core to what I do. I'll assess quality during discovery and include it in the scope.
Think we'd be a fit?
Send a short note about what you're trying to figure out, or book a 30-minute call. Either works.