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Data Analyst based in London working across the full analytics pipeline — Python ETL, complex SQL, and BI dashboards in Power BI and Tableau. I turn messy, multi-source data into decisions leadership can act on.
I'm a Data Analyst who's spent the last few years living inside the whole analytics pipeline — from Python ETL and PostgreSQL modelling to shipping the Power BI dashboards leadership actually opens.
Most recently I was AI & Data Intern at YCX, where I rewrote a 4-hour multi-source pipeline into a Python + n8n workflow that runs in under 10 minutes and cut reporting errors by 25%. I'm just as comfortable writing window functions in SQL as I am building a DAX measure, tuning a Tableau parameter, or running a VADER sentiment model over unstructured text.
Currently based in London — MSc AI (Merit) at Queen Mary, BSc CS from SIES Mumbai — and looking for my next Data Analyst role.
The stack I use day to day, from ingestion to insight.
Pandas · NumPy · ETL
ExpertPostgreSQL · CTEs · Windows
ExpertDAX · Power Query
ProficientBlending · Parameters
ProficientPipelines · Orchestration
ProficientBigQuery · Cloud
Working knowledgeStatistical analysis
Working knowledgeNoSQL · Aggregation
Working knowledgeEvery project below started with a real problem and ended with a shipped artifact.
Problem · Fragmented sales data across 10K+ records made revenue and product performance impossible to track in one place.
Solution · Built an end-to-end analytics pipeline with a DAX/Power Query dashboard tracking revenue, margin and AOV.
Problem · No structured way to quantify public sentiment shifts around UK policy events like the Energy Price Guarantee.
Solution · Built a Python + VADER NLP pipeline processing unstructured text, surfacing daily sentiment KPIs in Power BI.
Problem · 1,000+ customer reviews with no clear signal on what was driving low satisfaction scores.
Solution · Interactive Tableau dashboard using calculated fields, parameters and data blending across service dimensions.
Problem · Manual multi-source data prep was taking 4 hours per cycle and blocking analysis work.
Solution · Engineered Python ETL pipelines orchestrated in n8n with Google Sheets API refresh and validation checks.
I'm actively looking for Data Analyst roles in London (and remote UK). The fastest way to reach me is email or LinkedIn.
Whether it's a role, a project, or just wanting to talk data pipelines and dashboards — my inbox is open.