With over 10 years of experience in data analytics and data science, I’ve seen the same problem happen again and again.

People open a dataset, notice missing values, duplicates, or inconsistent categories, and the first instinct is often to simply delete rows or make quick fixes just to move forward.

But data problems are rarely that simple.

Behind every missing value or inconsistency, there’s usually a deeper question:
Where did this data come from?
Is it safe to remove?
Will fixing it this way change the insights or decisions that come from it?

Experienced analysts learn to ask these questions before touching the data. Unfortunately, most tools today assume you already know how to make these decisions.

I wanted to create something different.

My goal is to build a guided experience that feels like having a senior data analyst sitting next to you, helping you think through messy datasets step by step. Instead of blindly cleaning data, the system helps you understand what’s happening in the data, why it matters, and what the best next step might be.

Because good data analysis isn’t just about cleaning data.
It’s about making thoughtful decisions along the way.