Predict growth. Automate decisions. Turn your data into momentum.
I use data science to drive real growth - not vanity dashboards. From predictive LTV and churn modelling to product-led onboarding flows, pricing automation and audience targeting, I build systems that connect your data directly to the levers that grow your business. These are not just models, they’re decision engines: they power dynamic pricing, trigger lifecycle campaigns, score leads, cluster behaviours and forecast revenue in ways no static report can.
Every signal is actionable, every insight is tied to outcome. Whether you’re scaling a SaaS platform or optimising an eCommerce funnel, I turn your raw data into a compounding advantage - owned, production-ready, and deeply integrated with your stack.
No guesswork. No lag. Just data that acts.
competitor_scraper.py
⇣ Predicted LTV from real usage data
Predicted LTV Actions
Based on behaviour, recency and product usage
| Customer | Segment | Predicted LTV | Recommended Action |
|---|---|---|---|
| C. Lopez | Power user | £1,850 | Offer annual plan |
| R. Singh | At risk | £120 | Trigger win-back email |
| T. Anders | New user | £480 | Wait and observe |
From Insight to Action
Core Data Science Benefits That Move the Needle
These are not just models or metrics. They are growth levers - deeply embedded into your product, marketing and pricing. From better segmentation and real-time decisioning to churn prediction and LTV forecasting, I use data science to automate what used to be guesswork and expose what used to be invisible. Every insight is engineered to drive action, every model tuned for business impact.
- Smarter segmentation
Unlock more valuable audiences with intelligent clustering and scoring. Know who is ready to upgrade, who will convert with the right nudge, and who is worth reactivating.
- Customer journey analytics
See the complete path to conversion - and where it breaks. I track and model drop-off points, time-to-value, activation friction and funnel bottlenecks with clarity.
- Automated decision making
Data that sits in a dashboard is wasted. I build systems that act - triggering campaigns, pricing changes or product nudges the moment the data says they should.
- Attribution clarity
Stop guessing what worked. I use probabilistic models and behavioural data to reveal which touchpoints actually drive conversions and retention - across channels.
- Dynamic bidding and offer logic
React in real time to market signals. Whether it’s Google Ads, product feeds or on-site offers, I optimise your decisions based on competition, demand and performance.
- Churn prevention and recovery
Spot users at risk of leaving before they do. My models trigger personalised retention flows, reactivation sequences or even product interventions to win them back.
- Product-led insights
Understand what really keeps users around. I map feature usage to retention and upgrades, giving your product team direction grounded in real behaviour.
- Revenue forecasting
No more spreadsheets. I use cohort-based models to predict MRR growth, CAC payback, LTV by segment and other critical growth metrics - with confidence intervals, not gut feeling.
Data Science for Growth
From Raw Signals to Revenue
This is the pipeline that turns your product and marketing data into measurable, automated outcomes. Every signal becomes a trigger, every model drives an action, and every part of your stack learns as it grows.
Triggered offers, behavioural flows, adaptive messaging
Pricing changes, ads, CRM sync, smart scheduling
Your Stack, Versioned, Validated and Battle-Tested
Behind every personalised experience or automated campaign is a serious stack - pipelines, models, infrastructure, and tracking layers that need to be clean, reproducible and production-safe. I build with the same tools and practices used in high-performing teams: notebooks that ship to production, models that self-monitor, and pipelines that hold up to scrutiny. Whether you’re a solo founder or have your own data team, this work integrates seamlessly into your workflow.
- Data pipeline orchestration
- Airflow, Dagster, dbt or fully custom Python jobs - orchestrated for reliability, observability and long-term maintainability.
- Modelling and evaluation
- LTV, churn, segmentation and regression models using XGBoost, CatBoost, sklearn - scored with proper validation and tracked over time.
- Tracking and identity stitching
- Server-side events, cookie-less identifiers and anonymous-to-known user resolution built directly into your backend stack.
- ETL/ELT infrastructure
- BigQuery, Snowflake, Postgres, Fivetran, Segment - I integrate the tools that work best for your team and make sure the data flows cleanly.
- Reproducibility and versioning
- Model version control, MLflow tracking, git-based pipelines and structured feature stores for consistent and auditable results.
- Notebook-to-production flow
- Convert exploratory Jupyter notebooks into production-safe API endpoints used in your app, CRM or internal tools.
- Privacy-aware workflows
- All data flows are consent-first and GDPR-compliant. From hashed IDs to compliant logging and pseudonymisation, privacy is built-in.
Serious Growth Starts with Serious Data Infrastructure.
If you’re tired of hacks, dashboards and duct tape, I’ll help you build a durable foundation that scales cleanly.