Select a channel to continue

One profile, three angles.

Pick where you want to start — who I am, what I build, or what I do when I'm off the clock.

Channel 01

Operational by nature.

I'm energised by building things end-to-end — sourcing, logistics, and getting my hands on the physical side of a project, not just staring at a spreadsheet. Analysis is where I start; making it real is where I actually enjoy the work.

Deep-focus operator

I work in long, uninterrupted stretches rather than fragmented multitasking — I'd rather do one thing properly for two and a half hours than five things badly in bursts.

Hands-on builder

I'd rather source, wire up, and physically implement a project than leave it as a plan. If something's broken, my instinct is to open it up and fix it myself.

Cross-domain curiosity

Data by trade, but I build across fashion, fintech prototypes, and mechanical projects too. I like learning a domain well enough to actually ship something in it.

Channel 02

Raw data, resolved into decisions worth making.

Data analyst working across Python, SQL, and Power BI. Four modules below — each one moves from dataset to decision.

Download CV (PDF)
Python (pandas, numpy) SQL Power BI / DAX Statistical Analysis Data Visualization Process Automation
Media // Content Strategy

Netflix Movies Analysis

MOD.01

Catalogue-wide breakdown of genre saturation, release-year trends, and rating patterns feeding content acquisition strategy.

DRAMA
Top genre by volume
2018–19
Peak release window
PythonpandasMatplotlib
Open module
Retail // Consumer Behaviour

UK Consumer Trends

MOD.02

Tracks shifting UK spend across categories and regions to flag where demand is accelerating — and where it's cooling.

▲ ONLINE GROCERY
Fastest-growing category
▼ HIGH-STREET FASHION
Softest category
SQLPower BIDAX
Open module
People Analytics

HR Metrics Dashboard

MOD.03

Workforce dashboard covering attrition, tenure, and headcount by department — built to surface retention risk early.

12%
12%
Annual attrition rate
3.4 YRS
Median tenure
PythonPower BIStatistics
Open module
Finance // Customer Complaints

Financial Complaints Analysis

MOD.04

Diagnostic breakdown of financial services complaints by category, root cause, and resolution time — flagging systemic issues for the business to act on.

1,200+
Complaints analysed
3.2 days
Avg. resolution time
TableauPythonSQL
Open module
Retail // Sales Performance

Superstore Dashboard

MOD.05

Store-level sales, profit, and category performance dashboard built to spot underperforming regions and product lines at a glance.

Central region
Top-performing region
Furniture
Lowest-margin category
Power BIDAXExcel
Open module
Channel 03

Off the clock.

Away from spreadsheets, I'm usually under a bonnet, on a back road, or with family — and yes, I still notice the data in all of it.

Cars & mechanics

I repair and tinker with cars on the side — big SUVs, muscle cars, anything with an engine worth understanding properly. There's a real satisfaction in diagnosing a fault by hand instead of just reading a code.

Watch garage clips

Driving & exploring

I like getting out on the road and seeing places I haven't been — no fixed plan, just a decent route and a reason to drive. Watching F1, GT3, and GT4 scratches the same itch when I'm not behind the wheel myself.

Watch road trips

Gaming

Mortal Kombat on PC is my main outlet — I like the sharp reflexes and combo-building as a total reset from analytical work. Always up for a match.

Watch gameplay

Family time

Simple, unplugged time with family — the kind of thing that doesn't need a project plan, just showing up for it.