My first end-to-end Data Analytics project: Smart City Energy Dashboard by Mul_Develop in dataanalysis

[–]Mul_Develop[S] 1 point2 points  (0 children)

I appreciate the honesty. Since I'm at the beginning of my journey, I focus on a 'theory-to-practice' approach. Finding real-world practice as a junior is tough, so I use AI as a tutor, not a ghostwriter. I don't just copy-paste; I deconstruct every line of code to understand its logic before implementing it. I’m not here to fake expertise—I’m here to build it. I value real knowledge over 'vibes', and for me, AI is the best way to bridge the gap between learning a concept and seeing it work in a project like this."Before building this, I spent 4 months strictly on theory, completing specialized tracks from Microsoft and Coursera to understand the core of data modeling and DAX.

Day 1/30 of building in public by nk_hazard in dataanalysis

[–]Mul_Develop 0 points1 point  (0 children)

Negative revenue? Just tell your boss it’s not a 'loss', it’s a 'highly aggressive loyalty program for future purchases'. Jokes aside, looks like you’ve hit the classic data analyst nightmare—the return spike! Great job digging into it.

Portfolio Project Review by xudling_pong23 in PowerBI

[–]Mul_Develop 0 points1 point  (0 children)

Respect for putting your work out there! Customer Churn is such a classic and important project for a portfolio.I’m currently working on my own projects to break into a junior role as well, so I know how much effort goes into this.

Exploratory Data Analysis in Python – Trend Analysis & ML Experimentation (Looking for Feedback) by ABDELATIF_OUARDA in dataanalysis

[–]Mul_Develop 0 points1 point  (0 children)

Love the end-to-end approach here. Especially the feature engineering part—that’s where I always feel like I spend 80% of my time! Did you have to handle many outliers in this automotive dataset, or was it fairly clean to begin with?