Data Science Consulting for Philanthropy

Mycelytics

Helping grantmaking organizations make better decisions through expert analysis, reliable data infrastructure and effective operational systems.


Services

Understand

Data Science & Analytics

Get clear evidence-based answers to key strategic and operational questions

Build

Data Engineering & Infrastructure

Build reliable systems that deliver clean, unified data ready for reporting

Improve

Operational Systems Optimization

Enhance data quality, structure and integrity while improving user experience

About

A headshot showing Jamie Fawcett smiling to camera.

Jamie Fawcett

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

The logo for mycelytics is made up of intersecting black tendrils emanating from the left of the full word "Mycelytics" which is orange.

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.

Contact

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Connect

Data Science & Analytics

Get clear evidence-based answers to key strategic and operational questions

Approach

  • formulate the right questions

  • identify the right data

  • develop the right analysis

  • present the right information

  • support the right decisions

Tools

  • custom analysis (Python, SQL, R)

  • business intelligence dashboards (PowerBI, Tableau, Qlik)

Results

  • clear and concise answers

  • static and/or interactive visualizations

  • repeatable methodology documentation

Data Engineering & Infrastructure

Build reliable systems that deliver clean, unified data ready for reporting

Approach

  • extract data from core operational systems

  • transform, clean and combine data sources

  • load unified data into analytics environments

Tools

  • data environments (GCP, AWS, Databricks, Azure)

  • custom and off-the-shelf pipelines (Fivetran, Python, SQL, dbt)

Results

  • robust data infrastructure

  • easy to use documentation

Operational Systems Optimization

Enhance data quality, structure and integrity while improving user experience

Approach

  • align and improve data structure and taxonomy

  • automate repetitive data entry

  • clean and enhance existing data

  • prepare data for transfer, migration and archiving

Tools

  • GMS / CRM (Salesforce, Fluxx, Microsoft Dynamics, SmartSimple, Blackbaud)

  • data and automation (APIs, Zapier, PowerAutomate, Python)

Results

  • functional system configuration and data

  • functionality and data update documentation