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Marketing and data analytics Open to marketing and data roles London | Mumbai · Portfolio 2026

A marketer who runs the campaigns, then reads the data to see what actually moved.

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I turn campaign noise into decisions that pay for themselves. Strategy first, then the SQL, Python and Tableau to check I was right.

How I work

Ask. Measure. Decide.

Ask the sharper question

Content, social and paid campaigns across 20+ clients taught me that a vague brief wastes budget. I start by pinning down the decision the work has to support.

  • Strategy
  • Paid social
  • Email and CRM
  • Brand

Measure it properly

SQL, Python and Tableau. Matched control groups, holdouts and honest error bars, so a number can survive a hard question in a room.

  • SQL
  • Python
  • Tableau
  • A/B testing

Decide, and say how sure

Every project ends with a recommendation and a plain statement of what it cannot show. Store 88's weak control and a 0.48 churn model are both on this site on purpose.

  • Storytelling
  • Uplift
  • Segmentation

Credentials

  • Google Data Analytics
  • Masters Consultancy Challenge 2026 winner
  • BCG Strategy Consulting
  • Quantium Data Analytics
  • Lloyds Data Science
  • British Airways Data Science
  • Deloitte Data Analytics
See certificates

Selected work.

All projects

The Revolut figures come from an independent portfolio study of a dataset, not from company data.

01/ 08

H&M Customer Retention Analysis

Which customers are quietly leaving

DuckDB SQL, Python, scikit-learn, TableauView case study
Cover for the H&M customer retention analysis, showing the Tableau dashboard and the headline result
02/ 08

UK Online Grocery Growth Intelligence

Turning marketing data into decisions

Lighthouse, Meta Ad Library, Tableau, ExcelView case study
Cover for the UK online grocery growth intelligence project, showing the Tableau dashboard
03/ 08

Revolut London Growth Study

How a fintech could win more of London

SQL, Python, TableauView case study
Findings board for the Revolut London growth study
04/ 08

F1 2026 Championship Forecast

Two models, one title race

Python, SQL, TableauView case study
Dashboard comparing two F1 championship forecasts
05/ 08

Netflix Content Library Analysis

What 8,807 titles say about a catalogue

Python, Pandas, SeabornView case study
Netflix content library dashboard
06/ 08

Customer churn model

Predicting who leaves a bank, honestly

BigQuery SQL, Random Forest, TableauView case study
The two LinkedIn carousel slides from the churn project, one light and one dark
07/ 08

Did the trial stores really lift sales?

Control stores and honest uplift

Python, Excel, PowerPointView case study
Dashboard 1 of 2: chips category sales by lifestage, brand share and customer concentration
08/ 08

Who did the offer actually persuade?

Uplift modelling, in progress

SQL, Python, Excel, Power BIView case study
Illustrative visual: four uplift quadrants with customer dots

Got a role in mind?

Contact me