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.