About Me
Junior data analyst exploring the fashion world through data to see what really comes to the surface.
Why bulendre?
If you ask a Romanian about “bulendre”, they’ll think of bags of old clothes, not a catwalk. Now imagine the same word said as if it were French. It almost becomes a chic brand! You could picture it on a perfume bottle. That gap between meaning and sound is why I chose it. I’m less interested in the illusion around clothes and more in what the data underneath actually shows.
Technical Skills
SQL
Relational querying, joins, transformation, aggregations, and stored procedures.
Excel
Data cleaning, analytical functions, pivot tables, dashboards.
Power BI
Transforming data, modelling relationships, interactive visuals, and dashboard visualization.
Python
Data analysis with pandas: cleaning, aggregation, visualization, and basic ML.
Project Focus
At some point I realised, to my surprise, that industrial clothing is a very recent chapter in our history. Over time, new technology and the economic pressure to produce more, faster, and cheaper pushed clothing out of the tailor’s hands and into mass-production systems.
Not long ago, it was normal to choose a fabric, go to a tailor, and build a wardrobe over time that truly suited your life. Tailors haven’t disappeared, but the price difference compared to mass-produced clothing means they’re rarely the first long-term option people think of.
I even had a phase where I wanted to make my own clothes, and as I looked into it I kept coming back to the same thought: somewhere along the way, something changed dramatically.
I carry a lot of open questions about fashion today, and my mission here is to slowly uncover what happened in between. Bulendre.org is the place where I try to explore those questions using the data analysis skills I learned through Wawiwa’s program. It’s a practical space for me to apply what I’m learning and to develop, project by project, as a junior data analyst.