Kedeisha Bryan

Founder at Data in Motion LLC | Senior Data Visualization Consultant | Navy Veteran | Top 30 Women in Data | Building the best skill & career development platform for the data community

You want a better career. But you’re stuck

No tech degree.

No portfolio.

No idea how to stand out.

That’s where I come in.

I’m Kedeisha Bryan, founder of Data in Motion. I help career changers launch $100k analytics careers without going back to school.

How? By teaching the exact skills employers want: SQL, Excel, Power BI, Tableau, Python, PowerPoint, storytelling and real-world pro-jects that prove your value.

By coaching you through interviews, negotiations, and personal branding.

By giving you the confidence and tools to compete with anyone in the market.

The results?
✔ 60,000+ in the Data in Motion community.
✔ Thousands of students hired at Microsoft, Chase, Roku, and more.
✔ Career changers moving from admin, customer support, teaching, even warehouse jobs… into high paying analyst roles.

A few years ago, I was delivering pizzas for $8 an hour.

Today, I’m a self-taught data scientist who’s helped thousands transform their careers.

I know the struggle and I know the path out.

If you’re ready to land a data role in the next 6 months, let’s talk.

Ready to land your dream job in data?

Founder & CEO

Online bootcamp and interview preparation program to kickstart a person's data career in 5 months without going back to school

I wasn’t supposed to be here.

𝐓𝐚𝐦𝐢𝐥-𝐦𝐞𝐝𝐢𝐮𝐦 𝐛𝐚𝐜𝐤𝐠𝐫𝐨𝐮𝐧𝐝 ➡️ 𝐁𝐢𝐨𝐦𝐞𝐝𝐢𝐜𝐚𝐥 𝐠𝐫𝐚𝐝 ➡️ 𝐓𝐞𝐬𝐭𝐢𝐧𝐠 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫,  𝐀𝐧𝐝 𝐧𝐨𝐰?

Head of Content & Analytics at one of the biggest data learning communities.

Hi, I’m Naveen. 👋🏼

I didn’t break into data with connections or fancy credentials.

I did it by learning in public—sharing projects, joining challenges, and staying consistent.

That’s how I landed my current role at Codebasics, without even a formal interview.

𝐍𝐨𝐰 𝐈 𝐡𝐞𝐥𝐩 𝐨𝐭𝐡𝐞𝐫𝐬 𝐝𝐨 𝐭𝐡𝐞 𝐬𝐚𝐦𝐞.

💡 Learn tools like Power BI, SQL, n8n, Power Automate, and Microsoft Fabric

📊 Build job-ready projects and practical skills

💼 Get clarity on resumes, interviews, and where to focus

___________

𝐏𝐞𝐨𝐩𝐥𝐞 𝐤𝐧𝐨𝐰 𝐦𝐞 𝐟𝐨𝐫:

➡️ Making career growth feel practical, not overwhelming

➡️ Sharing what I do—not just what I know

➡️Being that “boy-next-door” who just keeps showing up and sharing

_____________

These are the tools I use to build, automate, and simplify real problems:

Power BI | Microsoft Fabric | SQL | Power Automate | n8n | Make.com

And the areas I enjoy working in the most:

Data Visualization | Workflow Automation | Dashboarding | Content Strategy | Enablement

_____________

𝐇𝐞𝐫𝐞’𝐬 𝐡𝐨𝐰 𝐈 𝐜𝐚𝐧 𝐡𝐞𝐥𝐩 𝐲𝐨𝐮:

1️⃣ Content that simplifies data learning and job prep

2️⃣ Career advice for anyone switching, starting, or stuck

3️⃣ Speaking, collabs, and projects that genuinely create impact

_____________

I’m not here to sell a dream.

I’m here to show that with consistency, clarity, and community, you can get into data and grow fast.

Let’s build that path together.

📩 DM me if you're a learner, collaborator, recruiter or just figuring things out.

NAVEEN S

The biggest problem for Data Analyst aspirants today isn’t competition.

It’s confusion.

Too many tools.

Too many roadmaps.

Too many opinions.

People think they’re behind.

In reality, they’re just scattered.

--

This checklist isn’t about learning everything.

It’s about focusing on what actually shows up in real data roles.

Core tools.
Business understanding.
Communication.
Projects that reflect real work.

You don’t need to finish this in one go.

You need to move in the right order.

More the ticks, the closer you are to the job!

How many boxes can you tick now?

--
The detailed roadmap and YT video explaining the same is available in comment section

#dataanalyst #roadmap #checklist #powerbi #data

Early in your career, dependency feels like success.

People ping you constantly:

Can you pull this?

Can you resend that?

Just one quick request.

It feels like validation…

until it becomes your everyday.

There is a moment every analyst reaches where you realise:

You’re not being valued for your skill. 

you’re being used as a 𝗱𝗮𝘁𝗮 𝘃𝗲𝗻𝗱𝗶𝗻𝗴 𝗺𝗮𝗰𝗵𝗶𝗻𝗲.


That’s when the shift begins.

As an analyst, people won’t ask you to automate.

You have to be the one who proposes it.

A real example:

During a campaign period, our marketing team needed updated learner data every few hours to optimize PPC targeting.

I could have run the query manually again and again… or built a dashboard and still kept getting pinged.

Instead, we automated it --> query, schedule, CSV output delivered on their mail. 

(More of how to do this in the comments)

No waiting.

No dependencies.

Just system.

That is when you move from being the person who sends data to being the person who solves problems.

Did you face any similar situations, and how did you handle them?

I noticed something interesting on Zepto

When I searched, “𝗚𝗼𝗼𝗱 𝗟𝘂𝗰𝗸 𝗚𝗿𝗮𝗽𝗲𝘀” showed up as a suggestion.

That wasn’t random.

It was tied to a viral New Year trend where people believed eating green grapes at midnight would bring good luck.

Does the ritual make logical sense? 

Not really. 😅

But that’s not the point.

The point is this:

Zepto noticed a cultural signal early and adapted instantly.

That’s how markets work.

And that’s how careers work, too.

People don’t become outdated because they are bad at their job.

They become outdated because they stop noticing what’s changing outside their job.

Tools. Platforms. Expectations. Workflows.

They shift quietly, then suddenly.

If you freeze your skillset the moment you get hired, you’re already on a countdown.

The question isn’t:

“What should I learn?”

It’s:

“𝗪𝗵𝗮𝘁 𝘀𝗶𝗴𝗻𝗮𝗹𝘀 𝗮𝗺 𝗜 𝗶𝗴𝗻𝗼𝗿𝗶𝗻𝗴 𝗿𝗶𝗴𝗵𝘁 𝗻𝗼𝘄?”

That question alone will do more for your career than any single tool.

P.S.: If you are in the data field, I have a solid signal for you in the comments!

#career #data #skills

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Kedeisha Bryan

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The Battle

Kedeisha Bryan

NAVEEN S

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Engagements

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