Combining Data Science and Automation:
To empower your data-driven decision-making in the laziest way possible.
I'm a data generalist with a bias for action, blending strategy, engineering, and automation to make data actually useful. Over the past decade, I've evolved from a biomedical scientist to Head of Data, building systems that help organisations move faster, make better decisions, and reduce the friction between insight and impact.
I'm driven by a simple goal: to make data accessible, trustworthy, and scalable. Whether I'm architecting platforms, leading data teams, or stitching together APIs, I focus on clarity, removing the noise so businesses can see what really matters.
At my core, I love turning complexity into simplicity. I build processes that not only work but improve over time by automating repetitive tasks, integrating systems, and empowering teams to spend less time chasing numbers and more time driving outcomes.
Over the years, I've had the privilege of working across a broad spectrum of industries and roles, each of which has shaped my unique approach to solving data problems.
Built and led a high-performing team of fifteen to deliver a modern data platform powered by Snowflake, Fivetran, and dbt. Streamlined reporting pipelines to cut data processing time by 60%, automated key reports saving 20+ hours weekly, and enabled real-time insights across departments. Drove data culture transformation through hands-on mentorship, executive reporting, and governance frameworks, helping teams trust and act on their data.
Designed and deployed a custom Node.js ETL platform to replace a legacy SAP warehouse within two months. Automated financial month-end reporting, reducing turnaround from 25+ days to 2. Integrated Salesforce, GA4, and Marketing Cloud data for unified analytics and Power BI reporting, establishing the foundation for future data strategy.
Managed and optimised a 300,000+ customer database, building automated lead pipelines that improved acquisition and retention. Leveraged Salesforce Marketing Cloud and Einstein AI to personalise campaigns, boosting engagement by 25%. Developed reports that reshaped marketing strategy and improved ROI visibility.
Blended product, marketing, and content leadership in the emerging wearable tech space. Led SSL's global event presence at CES, IDTechEx, and more, driving major brand exposure and securing coverage that contributed to over half a million pre-orders for ZOZOSUIT. This early experience shaped how I think about storytelling, data, and connecting technology with people.
These experiences have given me a practical understanding of how data, technology, and people intersect, enabling me to design systems and cultures that turn information into impact.
Sprout Analytics is a B2B SaaS platform that simplifies data engineering, giving businesses an end-to-end view of their data across multiple sources.
We're on a mission to make data accessible, trustworthy, and actionable, empowering teams to make decisions with clarity and confidence.
By focusing on scalability, security, and ethical practices, we help organisations harness the power of an enterprise-grade data stack without the complexity.
Takes provided JSON format data and automatically creates/inserts SQL tables.
Identifies data type, possible indexes for streamlined processing.
Changes datatypes, lengths, and even adds new columns to handle new data for a self-healing database.
Upcoming feature: Additional module that automatically connects two tables for a combined view predicting index and important fields.
Simplify inserts through AutoSQL by predicting data types, indexes, and schema creation. Built to be additive and non-destructive to existing data.
Repository available on npm.
For Pipeline Prediction and Sales Enablement
Answering the question: "How do we bet our resources on the winning leads?"
Using models of Expected Return vs Management of Risk.
Identification of 'hottest' opportunities for prioritization
3-metric based model taking into account all details of Sales CRM (automatically scraped):
Simulated improvements of ~15% sales and ~7% revenue over 1 year using insights with no extra resources or effort.
(Based on sample client CRM data - results different for everyone and their sales model)
Successfully implemented as an integration on Salesforce across two organizations, leveraging a robust SQL back-end. The API integration connects seamlessly into the round-robin system, ensuring efficient lead distribution and maximizing sales opportunities.
If you'd like to catch up for a coffee or discuss how I can help with your data needs, feel free to reach out via email.
Email: [email protected]