From Textile Engineering to Data: Why I Made the Switch

My starting point

My background is in Textile Engineering and Management. I studied at BGMEA University of Fashion and Technology and graduated with a CGPA of 3.93 out of 4.00. My professional experience began in merchandising, including work on Ralph Lauren accounts at Dekko ISHO Group.

I now work as a Product Coordinator in the ANZ Lifestyle Business Unit at New Era Cap. I am based in Bangladesh and work remotely with the Australian market. I am building my data skills alongside that role.

Why data interests me

Merchandising involves understanding how information moves between people, products and deadlines. That experience gives me a business perspective when I look at a dataset. I want to know what a result means for the person responsible for the next decision.

My move into data is an extension of that interest. SQL gives me a way to ask precise questions. Power BI helps me organise the answers so someone else can use them. Data engineering interests me because useful analysis depends on a reliable process behind it.

Building the technical foundation

I have completed the Associate Data Engineer in SQL learning path and Microsoft's eight course Power BI Data Analyst Professional Certificate on Coursera. I am continuing with the Data Engineer in Python track.

My portfolio gives me a place to apply that learning. The Olist project connects sales with delivery and reviews. The retail project explores profitability. The PostgreSQL project focuses on preparing data and scheduling a workflow.

What I bring with me

I am still developing as a data professional. My earlier experience helps me ask practical questions, work with people across functions and explain why an analysis matters. Those are skills I want to keep building alongside the technical work.

This article reflects my current experience. The transition is ongoing, and these notes will develop with it.