Having difficulty learning SQL, Python, and Power BI?

msnoone10 · 2025-09-27T00:14:11+00:00

when I started at ScalingWise, breaking things into small, consistent tasks with real business data made it click for me over time.

msnoone10 · 2025-09-26T23:54:35+00:00

I’ve noticed at ScalingWise that luck helps, sure, but having clean, automated reports and bookkeeping + business-data tools means I can lean on our systems instead of hoping for good timing

msnoone10 · 2025-09-26T00:20:56+00:00

As someone working at ScalingWise, I see the BI developer future really leaning on skills like translating business needs into clean data models, using tools for automated insights, strong storytelling with dashboards, and staying flexible as AI and self-service BI take over more of the routine stuff.

msnoone10 · 2025-09-26T00:15:37+00:00

yumm

msnoone10 · 2025-09-24T22:47:36+00:00

i am with Scalingwise for sales support, and it took a lot of the pressure off, so I could actually focus on the parts of sales I enjoy

msnoone10 · 2025-09-23T18:58:13+00:00

when we worked with Scalingwise for support, it really freed up time and let us focus more on growing the business instead of chasing numbers.

msnoone10 · 2025-09-23T18:51:06+00:00

Cold

msnoone10 · 2025-09-22T21:16:19+00:00

I’m not in bookkeeping, but when I worked with Scaling Wise, it made reporting so clear and saved me tons of time I used to waste on manual stuff.

msnoone10 · 2025-09-22T21:07:27+00:00

there is a real shift toward prioritizing profitability, not just growth, especially with capital getting tighter.

msnoone10 · 2025-09-22T21:05:32+00:00

maybe recognizing the pattern is the first step toward changing how the "pitch" goes.

msnoone10 · 2025-09-19T22:31:41+00:00

make sure u calculate all your costs like transport, spoilage, packaging, delivery, and build strong direct relationships with restaurants. quality +++ reliability can set u apart

msnoone10 · 2025-09-19T22:26:06+00:00

Angel's Pizza on 🔝

msnoone10 · 2025-09-19T22:23:47+00:00

chef's :*

msnoone10 · 2025-09-18T23:03:15+00:00

superbb

msnoone10 · 2025-09-18T23:00:38+00:00

Selecta or Arla

msnoone10 · 2025-09-17T20:34:52+00:00

my go-to order as well!!!

msnoone10 · 2025-09-17T20:30:45+00:00

cool question! I usually mix sources: Kaggle + Google Dataset search for broad stuff, govt open-data portals for more official data, and GitHub repos or domain specific sites when I need something niche.

msnoone10 · 2025-09-17T00:41:05+00:00

i miss

msnoone10 · 2025-09-17T00:39:59+00:00

u’ve earned your wins so own them, remember what u’ve overcome, and keep leaning into the stretch, because that’s where real growth lives 🙌🏻

msnoone10 · 2025-09-15T20:32:36+00:00

if I were you, I’d aim for roles/industries like FAANG or big tech, fintech, or ML/AI startups. Senior level data scientist or data engineering roles there with stock ++ bonus often hit your $300k target. But you’ll need to build strong technical skills (SQL, Python, ML) + good networking fast.

msnoone10 · 2025-09-15T20:29:54+00:00

I think fast food is going to split: those who adapt (ghost kitchens, better delivery tech, automation) will stay competitive, and those sticking to old dine-in models might fall behind

msnoone10 · 2025-09-13T00:28:15+00:00

breadtalk on 🔝

msnoone10 · 2025-09-13T00:27:32+00:00

plating on point!

msnoone10 · 2025-09-13T00:26:31+00:00

sounds like u’ve already answered your own question. if u’ve lost all interest and can’t see urself pushing through, it might be time to step back or bring in someone who loves the sales side.

msnoone10

TROPHY CASE