Data scientist · AI engineer
Data and AI that ship.
I build data solutions that solve real business problems and surface the insights behind how people actually behave.
Over 15+ years I've turned complex data into systems people actually use: engineering the pipelines, building the models, designing dashboards non-technical teams can read, and pulling out the findings that drive decisions.
Core Skills
- Coding
- PythonRSQLSAS
- Advanced Analytics
- Supervised & unsupervised learningChurn predictionMarketing mix modelingMulti-touch attribution
- Visualization
- LookerTableauPower BIGoogle Data Studio
- Data Engineering
- SnowflakedbtBigQueryFivetranGCP
- Building & Deploying AI
- Agentic workflows (Vertex AI, Google ADK)Claude CodeLovableReplitStreamlit
- Domain
- MarketingProductConsumer researchSocial media research
- GTM & Product
- GongMarketo MeasureGA4Google AdsSalesforceHubSpotPendoChurnZeroZendesk
AI Agents & Applications
Feedback Genie
Topic extraction for open-ended survey responses. Hybrid embeddings and LLM, with an interactive codeframe to refine the result.
- Next.js
- FastAPI
- Gemini embeddings
- scikit-learn
- TypeScript
Segmentation Agent
A multi-agent system that turns a raw customer CSV into clusters, segment profiles, and a marketing playbook.
- Google ADK
- Gemini 2.5
- Python
- scikit-learn
- Streamlit
Analytics & ML Writing
Customer segmentation with BigQuery + Looker Studio
A SQL-first segmentation that runs entirely in the warehouse and lands in a dashboard. No separate ML stack required.
- BigQuery
- SQL
- Looker Studio
- RFM
Monitoring repeat purchase behavior
Cohort retention and repeat-purchase metrics built on BigQuery, visualised in Looker Studio.
- BigQuery
- Cohort analysis
- Looker Studio
Predicting subscription churn with PySpark ML
End-to-end churn modelling on a music streaming dataset. Feature engineering, model selection, and evaluation, at Spark scale.
- PySpark
- MLlib
- Feature engineering
- Classification
How to win in the data science world
An essay on what actually matters in a data science career, beyond the tool of the month.
- Essay
- Career