Data Science Consulting for Philanthropy
Helping grantmaking organizations make better decisions through expert analysis, reliable data infrastructure and effective operational systems.
Understand
Get clear evidence-based answers to key strategic and operational questions
Build
Build reliable systems that deliver clean, unified data ready for reporting
Improve
Enhance data quality, structure and integrity while improving user experience

Data Scientist
Jamie has a decade of experience helping clients use data to drive meaningful change. He combines an empathetic, easy-going approach with strong technical expertise – equally at ease leading discovery workshops, writing Python code and presenting findings. He’s most engaged when delving deep into complex problems and presenting novel solutions.He holds a Master’s in Social Science of the Internet from the University of Oxford and a BSc in Politics from the University of Southampton. He previously held roles with Grantbook and the Open Data Institute.
Learn More About Jamie

Data Science Consulting for Philanthropy
Mycelytics is the name of Jamie’s data consulting practice. It evokes parallels between the complex social systems philanthropy seeks to understand and the hidden, interwoven networks of fungal life. Both emerge through dynamic, decentralised, and interdependent processes.As with mycology, building knowledge for philanthropy requires careful unearthing, rigorous methodologies, and appreciation of systemic context.
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Connect
Get clear evidence-based answers to key strategic and operational questions
formulate the right questions
identify the right data
develop the right analysis
present the right information
support the right decisions
custom analysis (Python, SQL, R)
business intelligence dashboards (PowerBI, Tableau, Qlik)
clear and concise answers
static and/or interactive visualizations
repeatable methodology documentation
Other services
Build reliable systems that deliver clean, unified data ready for reporting
extract data from core operational systems
transform, clean and combine data sources
load unified data into analytics environments
data environments (GCP, AWS, Databricks, Azure)
custom and off-the-shelf pipelines (Fivetran, Python, SQL, dbt)
robust data infrastructure
easy to use documentation
Other services
Enhance data quality, structure and integrity while improving user experience
align and improve data structure and taxonomy
automate repetitive data entry
clean and enhance existing data
prepare data for transfer, migration and archiving
GMS / CRM (Salesforce, Fluxx, Microsoft Dynamics, SmartSimple, Blackbaud)
data and automation (APIs, Zapier, PowerAutomate, Python)
functional system configuration and data
functionality and data update documentation
Other services