I’m a data analyst in London. Give me a business question and the data behind it, and I’ll come back with a clear answer you can trust. I’m currently doing that at Reiss.
I started out in Computer Science at the University of Delhi, then moved to the UK for an MSc in Artificial Intelligence, where I focused on data analysis, machine learning and experimental design.
Since then I’ve worked on the business side of data, from my first analytics role at Starbucks EMEA to owning the reporting that department heads at Reiss rely on every week. My favourite part is when messy data turns into a clear answer someone can act on.
Here are the tools I use most:
SQL
Google BigQuery
Power BI & DAX
Power Query
Python (pandas)
Excel
Alteryx
PowerShell & VBA
MSc Artificial Intelligence
Royal Holloway, University of London · 2022–23
Data Analysis, Machine Learning, Experimental Design.
BSc (Hons) Computer Science
University of Delhi · 2018–21
Database Management Systems, Introduction to Data Science.
Where I’ve worked
Business Applications Support Analyst @ Reiss
Apr 2024 – Present · London
Own the build and upkeep of 20+ business-critical reports, working directly with department heads on what they need to decide.
Built Power BI dashboards that reconcile sales and stock across platforms, tracing discrepancies back to their root cause.
Automated recurring reports and alerts with PowerShell, VBA and Batch, saving 10+ hours a week.
Tuned SQL queries to run 30% faster and streamlined data prep with Alteryx.
Insights & Analytics Intern @ Starbucks EMEA
Jun 2023 – Dec 2023 · London
Published Power BI KPI dashboards that supported market expansion decisions across EMEA.
Analysed pricing and promotions against sales volume to inform pricing decisions.
Turned complex data into clear visuals in R, and presented findings to cross-functional teams.
Using 31.8 million real H&M transactions, I learnt from 19,668 past markdowns which discount depth actually works, comparing each against similar products still at full price.
30–50% cuts grew revenue by 45%; shallow cuts barely beat doing nothing. The dashboard flags 2,122 slow lines to mark down now.