FLDWRKS
Experiements in Data, AI and Public Impact
Introduction to the Project Portfolio
This portfolio draws inspiration from the UK Government’s Plan for Change — a mission-led framework aimed at delivering long-term national improvement across areas such as health, education, energy, safety, and opportunity. Each project in this collection represents a practical, data-driven response to one of these missions, using public datasets to explore current challenges and surface insights that could, if real, inform better outcomes.From school readiness to NHS wait times and the green energy transition, in these reports I aim to demonstrate how structured analysis, clear communication, and public-sector context can turn open data into actionable insight. Together, they form a learning journey in applied data thinking, shaped by the same outcomes the government is aiming to deliver.
About me
Hi, I’m Jenny—a Civil Service change manager with aspirations in business analysis. I am exploring how data, storytelling, and AI can help address challenges in public service.This portfolio reflects my ongoing learning journey, documenting what I am discovering, testing, and developing as I gain practical, insight-driven skills in data and AI.From school readiness to the green grid, the projects included here are early experiments rather than fully polished solutions; they are shaped by real-world goals.FLDWRKS serves as a combination of a lab-book, journal, and a reminder to stay curious.
A Layered Approach
Why Layers
In a field that’s always changing, it helps to think in layers — not to stay ahead of everything, but to stay grounded in what matters.The top layer is where tools live: platforms like Microsoft Fabric, ChatGPT, and Copilot — powerful, but always evolving.The middle layer holds your workflows: dashboards, models, and analysis methods — they change, but more gradually.At the base is the foundation — clear thinking, structured analysis, communication, and change framing. These are the skills that last.That’s where I’m starting — with the foundations. The tools are important, but they only work when the thinking behind them is sound.
Pipeline
Project | Description | Status |
---|---|---|
School Readiness insights | Exploring how deprivation levels affect school readiness across regions using DfE data and Power BI. | Data prep underway |
NHS waiting time visulaisation | Analysing regional disparities in access to timely healthcare using RTT and deprivation data. | Dataset downloaded, early exploration phase. |
Three further projects - Green Grid Readiness, New Homes mapping, and Police Staffing | In the pipeline |
Project Index
Project Report 01
School Readiness & Deprivation
Exploring how deprivation levels affect school readiness across English regions using Power BI and open DfE datasets.
Tools: Power BI, Excel
Status: Data cleaning in progress
View report (link to Notion, GitHub, or PDF when ready)
Project Report 02
NHS Waiting Time Inequities
Analysing regional inequalities in access to timely healthcare using RTT statistics and deprivation scores.
Tools: Python, Power BI
Status: Early exploration phase
View report
Project Report 03
Net Zero Readiness Across the UK
Identifying which UK regions are least prepared for the 2030 energy transition using energy consumption, EPC, and EV infrastructure data.
Tools: Power BI, Python (planned)
Status: In planning
View report
Project Report 04
Where to Build for Opportunity
Mapping housing pipeline data and travel time to key services to identify opportunity-rich zones for future home development.
Tools: Excel, Power BI
Status: Coming soon
View report
Project Report 05
Matching Police Presence to Crime Need
Evaluating the distribution of officers across England against crime levels and local needs using Home Office and ONS data.
Tools: TBD
Status: Coming soon
View report