u/Maleficent_Sky5846

(sorry if you already saw my post recently, I'm reposting it because it appears to me that the image was not loaded properly)
Hello everyone! I'm from Brazil and I'm applying for Junior Data Analyst and Junior BI Analyst roles, both locally and internationally.

As you'll notice, my current degree isn't in a data field (though I managed to use some tech tools in my capstone project). While this background helped me land my recent Data Analyst internship, I know it might be seen as a drawback. I plan to start a data-related degree next semester, but in the meantime, I’ve been bridging the gap through self-study and the personal projects listed at the bottom of my resume.

I would appreciate some feedback on how to improve my resume and make it more competitive!

Edit: I'm already developing a digital portfolio with my projects, soon I'll add the link to the header.

https://preview.redd.it/m3cqefcwmcyg1.jpg?width=1785&format=pjpg&auto=webp&s=9a37be06a7e9b453f367ade28bcc6572f723066f

reddit.com
u/Maleficent_Sky5846 — 14 days ago

Perfeitas dms, sempre quis essas duas retrôs, principalmente essa vermelha de São Jorge

Edit: ao pessoal que está perguntando, eu fiz ALGUNS comentários explicando detalhadamente como foi a compra, mas o Reddit tá removendo automaticamente por conta dos links, mesmo eu colocando espaços. Fiz um novo comentário apenas com o número do whatsapp do fornecedor e as explicações detalhadas, vejam se está aparecendo pra vocês

u/Maleficent_Sky5846 — 15 days ago

(But there's still a problem, please stick to the end to understand...)

Hello! I've just wrapped up a project that combines two things I really enjoy: data and design!

The visual identity was inspired by Frutiger Aero, a style that defined many interfaces in the 2000s, known for its vibrant colors, transparency, and a sense of “optimistic futurism.” The goal was to bring that light and pleasant vibe into a modern dashboard.

But behind the nostalgic look, there was a strong focus on data engineering. I built a fully automated end-to-end pipeline that:

  • Collects historical, current, and forecast data via APIs (I had to combine two APIs REST: Meteostat + OpenWeather)
  • Performs transformations and standardization in Python
  • Stores everything in a cloud-based PostgreSQL database (Neon)
  • Orchestrates ingestion using Prefect Cloud (scheduled jobs, independent of my local environment)
  • Automatically updates the dashboard in Power BI Service

In the end, the result is a fully automated and interactive dashboard with near real-time data, support for multiple cities, unit switching (°C/°F), and some nice UX features.

**Yet, there's still a problem: I still have 15 days of free test using Power BI Service – which allows me to schedule the daily refreshes of the dashboard –, but once it's over, I guess I'll have to pay for it (not interested) or just open the dashboard in my desktop, refresh it and then publish it again – thus ceasing to be a 100% automated pipeline.**

Do you guys know if there is any way to get around this problem (without paying)?

u/Maleficent_Sky5846 — 17 days ago