s
smmfarah

Mashhud Farah

@smmfarah

Ecommerce Data Analyst Excel, SQL, Facebook Ads

Bangladesh
Inglés, Bengalí, Hindi
Parte de la información aparece en idioma inglés.
Sobre mí
I fix messy Shopify/Amazon exports and turn them into interactive dashboards that help store owners make faster decisions. 2 years of real ad analysis experience (dropshipping + clothing). Mechanic-style: I find the problem and solve it, nothing extra.... Lee más

Habilidades

s
smmfarah
Mashhud Farah
desconectado • 
Tiempo medio de respuesta: 1 hora

Revisa mis servicios

Limpieza de datos
I will clean your messy ecommerce data and build an interactive excel dashboard

Porfolio

Experiencia laboral

Fiverr

Freelance E-commerce Data Analyst

Fiverr • Freelance

Dec 2023 - Present2 yrs 5 mos

I help small e-commerce stores turn messy exports from Shopify, Amazon, and Facebook Ads into clean, interactive Excel dashboards. Fix missing values, wrong dates, duplicates, and build reports that show sales, costs, and ad performance at a glance. I also optimize Facebook Ads based on data — tested product images, measured CTR/ROAS, and scaled winning campaigns for real stores. My approach: no fluff, just find what's broken and fix it.

Facebook

Facebook Marketing Analyst (Dropshipping Store)

Facebook • Tiempo parcial

Sep 2022 - Nov 20231 yr 2 mos

Managed and analyzed Facebook Ads for a dropshipping store. Ran daily data checks: tracked CTR, ROAS, and CPA per ad set. Tested product images and copy through A/B testing. Identified underperforming ads early and reallocated budget to top performers. Over the year, maintained a positive ROAS while scaling spend. Used data — not guesswork — to decide every creative and audience change.

Shopify

Facebook Marketing Analyst (Clothing Brand)

Shopify • Tiempo parcial

May 2021 - May 20221 yr

Handled Facebook Ads data analysis for a clothing store. Analyzed daily ad performance, segmented results by product line and audience, and ran creative tests (video vs. static images, lifestyle vs. product shots). Improved ROAS by identifying which products drew traffic but not sales, and refocused spend on high-converting items. Provided weekly data summaries that the owner used to make inventory and restocking decisions.