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vertika222

VertikaD

@vertika222

Your trusted partner in solving complex business problems through data and AI

Índia
Sindi, Hindi, Inglês, Alemão
Algumas informações são exibidas no idioma inglês.
Sobre mim
Hi, Thanks for reaching out. I'm an analytics professional with proven experience delivering media and campaign insights for leading UK retailers and FMCG clients. I excel in tools such as Microsoft Excel, SQL, Power BI, and various media campaign platforms. I’m passionate about using data to drive business growth and support creative, strategic decision-making. In my recent role supporting Retail Media and Insights Platform, I’ve led several impactful projects involving campaign analytics, stakeholder collaboration across markets, and strategic reporting on various business/marketing KPIs.... Saiba mais

Habilidades

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vertika222
VertikaD
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Conheça meus serviços

Relatórios
I will create power bi dashboards for your business power apps and power automate
A partir deUS$ 30 /projetoMais detalhes
Assistente de pesquisa
I will provide virtual assistance for your business leveraging ai tools
A partir deUS$ 25 /projetoMais detalhes

Experiência profissional

Data Scientist (Media & Advertising)

dunnhumby Tesco • Período integral

Apr 2021 - Jan 2025 • 3 yrs 9 mos

• Big Query SQL Project: Created and formulated a targeted customer base for complex media campaigns (Audience Exposure data analysis) by leveraging advanced SQL queries, including sub-queries, CTE’s and joins. This analysis resulted in a comprehensive list of key audiences for campaigning. • Automation Project; Meta Sales Lift Study & KPI Analysis: Automated raw client data into actionable insights through Python & Excel reporting, highlighting incremental sales, return on ad spend, conversion rates. This analysis led to creation of well-designed reports as a one stop solution • Created measurement reports and performed bespoke analyses for sampling events in stores for brand promotions resulting in incremental sales, uplift, footfall and new customers acquired. Identified best performing stores by pre-period weeks approach and performed ad-hoc analyses to measure benchmark and average sales increment via promotional initiatives.