Founder · The Metric Minds

Hi, I'm Julie.

I came into Data through self-study.

Today, I work with people who are just starting out in Data, and with people who want to sharpen their analytical skills at work.

My strength is turning complex knowledge, experience, and workflows into clear, visual, reusable structures.

5+years of experience

400+learners & mentees

A tool helps you finish a task.

A way of thinking helps you grow a career.

My journey

01 · 2019

It all started with a startup project.

In 2019, while studying Logistics at the Foreign Trade University, I led a project in domestic and international startup competitions. Our team didn't rely on the idea alone. Our bigger strength was analyzing data, finding insights, and telling a story clear enough for others to see why the project deserved trust.

Those experiences took the project deep into several Business rounds. For me, it was also the first time I realized data could change how a person sees a problem and makes a decision.

Global Top 10SBC, Canada — Living Labs · Business Model Innovation Round

First PrizeSV Startup (FTU)

Third PrizeHack4SVGrowth · AVSE Global

After graduating, I decided to move into the Data field.

I started from the basics, found my own materials, did my own exercises, and fixed what I didn't understand on my own. After two months of self-study, I landed my first full-time job as a Data Analyst at a major commercial bank.

From Data Analyst to Analytics Engineer

That journey led me to an Analytics Engineer role at a tech corporation, where I worked on data projects for clients both domestic and international. Today, I also collaborate remotely with international partners in the data field.

Analyzing products and user behavior.
Building dashboards for operations and decision-making.
Working between Business and Technical to turn a vague need into a solvable, implementable problem.
Helping build data warehouses and organize input data to support analytics and reporting needs.

Working with more than 400 learners

Alongside my professional work, I've mentored more than 400 learners. Some are students looking for their way into the field. Some are switching careers from another industry. Some have worked in Marketing, Finance, Banking, or Operations and want to use data better in their current job.

What I value most is that everyone starts from a very different point. Some have never written a single line of SQL. Some have worked for years but never learned how to communicate effectively with a Data team. Some have learned a lot but haven't yet pieced it into one complete capability.

I've been at that stage myself, so I understand this path needs more than just a list of materials.

How I work with learners

Start from the big picture

Before writing SQL or opening Power BI, you need to understand what decision the business needs, which data is useful, and where analysis fits into the process.

From there, you'll know how to connect SQL, Python, and Power BI into one problem-solving system.

Understand theory through visuals

I visualize concepts so you understand the context, the logic, and the limits before touching the tool.

The learning sequence goes from overview → theory through visuals → example → practice → application → distilling a framework.

Have a framework to start from

A framework helps you know where to look and what to ask before you even face a new problem.

I build approach frameworks for analysis problems, datasets, complex SQL queries, dashboards, and user requirements. You use them as a starting point, then adjust to each situation.

Simplicity is the ultimate sophistication.

I believe truly understanding something means being able to explain a complex problem in simple, structured, and applicable language.

Simplicity still needs to keep the important ideas, clarify the core, and guide the learner through a logical sequence. That's why every piece of content at The Metric Minds needs to help you understand:

What exactly do you need to understand?

Why does it matter?

How can you apply it at work?

That's the standard I hold every piece of content at The Metric Minds to.

What is The Metric Minds?

To me, Data is a way of thinking. A metric only means something once you understand where it comes from, what it reflects, the factors behind it, and the decision it supports.

The Metric Minds stands for thinking that is clear, structured, and able to connect data with people, process, and business problems.

Here, I systemize knowledge and experience into visual frameworks, then put them into practice workflows that simulate real work. The goal is to help you know how to approach data and problems you've never seen before.

There's more material out there than ever. What learners actually need is how to connect knowledge into real capability: knowing what to learn first, why it matters, where to apply it, and how to keep growing as tools change.

Explore our courses →