Kedeisha Bryan

Data In Motion, LLC

Founded and scaled a data analytics education platform, designing and launching bootcamps, upskilling programs, and coaching initiatives to empower career changers and professionals in breaking into data.

- Empowered over 15,000 students by building a thriving data analytics education platform, providing hands-on courses, personalized coaching, and job placement support.

- Facilitated job offers by designing and launching high-impact bootcamps and upskilling programs, with graduates securing roles at Microsoft, phData, and UT Austin.

- Achieved an 85% student success rate by managing a team of 5 mentors and 50 bootcamp students, ensuring structured learning, mentorship, and career placement support.

- Refined target customer strategy by developing and analyzing 50+ surveys, gathering critical insights on customer needs and market trends using descriptive statistics, customer segmentation and NLP.

Founder & CEO

LinkedIn

LinkedIn Learning Instructor

COLSA

Designed, and optimized ETL pipelines, clustering models, and performance measurement frameworks, leveraging Python, MongoDB, and TensorFlow to enhance data processing, anomaly detection, and model evaluation.

✓ Utilized python and TensorFlow to develop ETL pipelines to process unstructured data for object detection models.
✓ Improved anomaly detection by refining and updating dimensional clustering models, leveraging statistical techniques to
enhance cluster quality.
✓ Created performance measurement frameworks for digital signals data

Data Scientist

Booz Allen Hamilton

Senior Data Visualization Specialist Consultant 

• Used python in Databricks to clean over 1 million rows of public government data. 
• Utilized data cleaning methods with the pandas library to treat missing and incorrect data.
• Built data pipelines in Microsoft Azure

Senior Data Engineer 

Humu

Led data extraction, customer analytics, and process optimization initiatives, leveraging SQL, Python, dbt, Google BigQuery, and Six Sigma methodologies to enhance decision-making and business efficiency.

- Increased data processing efficiency 30% by developing and optimizing SQL queries for production-quality data extraction, improving analysis of large datasets. 

- Enhanced customer retention strategies by analyzing CRM data to identify key predictors of customer health, providing actionable insights for business teams.

- Improved product decision-making by generating data-driven insights into product usage trends, leveraging Python and Google BigQuery to inform strategic enhancements.

Data Science Intern

Correlation One

• Led additional lessons in data analysis techniques in Excel, Tableau, and SQL.
• Mentored over 40 fellows in their transition into the Analytics field

Data Analytics Teaching Assistant

Cox Communications

- Detected $8M in annual fraud through exploratory data analysis, developing an interactive Tableau dashboard to communicate findings to executive leadership.

- Reduced report generation time from 4 hours to 15 minutes by leading the automation of business reporting, significantly improving operational efficiency.

- Optimized business operations by managing cross-functional projects, applying data analysis, Lean Six Sigma, and research-driven insights to drive process improvements.

Skills: Python · SQL · Microsoft Excel · Tableau

Data Visualization Analyst Co-op

US Navy

- Successfully managed a team of 15 technicians. Increased productivity of 30% through improving our end-to end service procedures.

- Optimized efficiencies by implementing Lean Six Sigma methods such as 5S that drove efforts to transform the work center, reducing waste and downtime by 25% and increase production availability by 30%

Aviation Electronics Technician

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

datacareerblueprint.com || Hi I'm Kedeisha, a data scientist and career strategist who went from delivering pizzas to leading a 55,000-strong data community. 

Over the years, I’ve helped thousands of professionals land job offers at top companies like Microsoft, phData, and the University of Texas at Austin—and many of them have climbed to senior roles in under three years.

As the author of Cracking the Data Engineer Interview, I’ve seen firsthand how the right strategies can transform your career. 

My mission? To share everything I’ve learned about breaking into and thriving in the data world, from mastering your skills to acing interviews and advancing your career.

I offer a tailored coaching program for aspiring data analysts that provides:

✅ Master SQL, Excel, Tableau, Python, and more in high-demand courses.

✅ Elevate your brand with LinkedIn and personal brand coaching.

✅ Create a standout portfolio with real-world projects.

✅ Interview preparation.

✅ Develop your confidence and leadership skills 

Ready to land your dream job in data?

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

topmate.io

Providing Career Guidance via 1-to-1 Calls and DMs to help you navigate to Data Analyst roles.

Career Mentor

Codebasics

Data Analyst & Product Manager

Data Analyst and Product Owner

Community Champion

- Built a Dashabord in Power BI to track the social media presence of codebasics by web scrapping data using Power Automate.

- Performed a YouTube Analysis to understand the trend of channels in data analytics and data science niche.

- Handled codebasics linkedin page

AtliQ Technologies

Data Analyst

Infosys

Responsible for test case design based on the business requirements and manual execution. Parallelly, handled automation scripting using Scriptless (in-house tool), which uses selenium with python robot framework internally. 

Handled newly integrated Power BI end-to-end testing (Data validation, user permission validation and benchmark calculation)

Test Engineer

Finished some mandatory courses in Lex platform of Infosys and went through several KT sessions for better understanding of project needs and responsibilities before being onboarded into the project.

System Engineer Trainee

I’m Naveen, currently working as Data Analyst & Product Manager at Codebasics, and I love figuring out the story and insights from the messy data. 

One Interesting fact about my job is, I got this offer based on my LinkedIn profile and my submissions in the #codebaiscsresumeprojectchallenge , without any formal interview 😄 

I have recently switched to a data analyst role from Testing Engineer. The experience from working in the testing domain, helped me to become the best in identifying the hedge cases in all the scenarios.

Tools and Technologies I work with,

- Power BI
- Power Automate
- Python
- MySQL
- Excel
- Notion

My Functional Areas

- Automating repetitive tasks 
- Data Visualization
- Market Analysis
- Content creation
- Dashboarding

I strongly believe in learning in Public, which is why I share all my learnings and experiences here regularly. To learn from my learnings and experience, you can follow/Connect with me here 😉.

NAVEEN S

I’ve been posting randomly before going to bed for the past few weeks.

Whatever idea came to mind, I just wrote it and hit publish.

But let’s be honest

Just to maintain my #21dayschallenge 

--

I knew it's not sustainable.

I knew I had to build some structure,

But I couldn’t find time to sit and plan content in bulk.

Today, I finally did it.

Spent over 𝟮 𝗵𝗼𝘂𝗿𝘀 writing and scheduling posts for the next week.

It took longer than usual (thanks to the long writing break 🥲),

But that sense of satisfaction after hitting “Schedule” for the entire week?

𝗣𝗿𝗶𝗰𝗲𝗹𝗲𝘀𝘀.😌

Sometimes, the hardest part isn’t creating content.

It’s sitting down to start again after a long break.


Do you batch-create your posts or write them daily?


P.S. - From tomorrow, you will be getting my post at 8:30 AM 😃. Hit the bell icon in the profile if you want to get notified. 

#contentcreation #linkedinwriting #day16

Your brain is the laziest culprit you’ll ever meet.

It always tries to 𝘀𝗮𝘃𝗲 𝗲𝗻𝗲𝗿𝗴𝘆 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗳𝘂𝘁𝘂𝗿𝗲,

but never wants to 𝘀𝗽𝗲𝗻𝗱 𝗶𝘁 𝗶𝗻 𝘁𝗵𝗲 𝗽𝗿𝗲𝘀𝗲𝗻𝘁.

Let me explain 👇

If you decide to run 𝟯 𝗸𝗺,

Your brain starts signaling tiredness by the 𝟭 𝗸𝗺 𝗺𝗮𝗿𝗸.

If the goal is 𝟱 𝗸𝗺,

You feel it around 𝟮 𝗼𝗿 𝟮.𝟱 𝗸𝗺.

If it’s 𝟭𝟬 𝗸𝗺,

You’ll start feeling “done” near 𝟱 𝗸𝗺.

And for 𝟮𝟭 𝗸𝗺,

That same tiredness shows up around 𝟭𝟬 𝗸𝗺.

See the pattern?

It’s rarely about actual fatigue

it’s your brain trying to 𝘀𝗮𝘃𝗲 𝗲𝗻𝗲𝗿𝗴𝘆 for a future that may never come.

--

That’s why someone wise once said:

 “Set your goals so high that even if you fall short,

you’ll still be ahead of where you started.”

--

P.S.  I’ve experienced this firsthand since I started running.

The pic below is from one of the half marathons I ran 

a reminder that your legs don’t stop first…

your 𝗺𝗶𝗻𝗱 𝗱𝗼𝗲𝘀.

Can you relate to this?

#mindset #laziness #21dayschallenge #day17

10 Most Common Resume Mistakes (from minor to major)

🔟 𝗛𝗮𝘃𝗶𝗻𝗴 𝗮 𝗿𝗲𝘀𝘂𝗺𝗲 𝗹𝗼𝗻𝗴𝗲𝗿 𝘁𝗵𝗮𝗻 𝟮 𝗽𝗮𝗴𝗲𝘀

If your resume reads like a novel, recruiters won’t finish the first chapter.

9️⃣ 𝗠𝗲𝗻𝘁𝗶𝗼𝗻𝗶𝗻𝗴 𝘀𝗰𝗵𝗼𝗼𝗹 𝗱𝗲𝘁𝗮𝗶𝗹𝘀 𝗳𝗿𝗼𝗺 𝘆𝗲𝗮𝗿𝘀 𝗮𝗴𝗼

Your high school marks don’t matter once you’ve graduated from college.

8️⃣ 𝗔𝗱𝗱𝗶𝗻𝗴 𝗽𝗲𝗿𝘀𝗼𝗻𝗮𝗹 𝗱𝗲𝘁𝗮𝗶𝗹𝘀

Marital status or religion? That space could be used for something that actually helps you get hired.

7️⃣ 𝗔𝘁𝘁𝗮𝗰𝗵𝗶𝗻𝗴 𝗮 𝗽𝗵𝗼𝘁𝗼

Unless it’s a modelling role, it adds bias, not value.

6️⃣ 𝗜𝗻𝗰𝗹𝘂𝗱𝗶𝗻𝗴 𝗶𝗿𝗿𝗲𝗹𝗲𝘃𝗮𝗻𝘁 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲

Don’t list everything you’ve ever done. Tailor your resume for the job you want.

5️⃣ 𝗪𝗿𝗶𝘁𝗶𝗻𝗴 𝗮 𝗴𝗲𝗻𝗲𝗿𝗶𝗰 𝘀𝘂𝗺𝗺𝗮𝗿𝘆

That “hardworking and passionate professional” line? Everyone uses it. Write something that reflects you.

4️⃣ 𝗡𝗼𝘁 𝘀𝗵𝗮𝗿𝗶𝗻𝗴 𝘆𝗼𝘂𝗿 𝗽𝗼𝗿𝘁𝗳𝗼𝗹𝗶𝗼 𝗼𝗿 𝗚𝗶𝘁𝗛𝘂𝗯 𝗹𝗶𝗻𝗸

If the hiring manager can’t see your work, they’ll move to the next person who shows theirs.

3️⃣ 𝗡𝗼𝘁 𝗾𝘂𝗮𝗻𝘁𝗶𝗳𝘆𝗶𝗻𝗴 𝘆𝗼𝘂𝗿 𝗿𝗲𝘀𝘂𝗹𝘁𝘀

“Worked on dashboards” is vague. “Built a Power BI dashboard that reduced reporting time by 60%” makes an impact.

2️⃣ 𝗡𝗼𝘁 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗶𝗻𝗴 𝗳𝗼𝗿 𝗔𝗧𝗦

Even the best resumes fail if the system can’t read them. Keywords and formatting matter.

1️⃣ 𝗡𝗼𝘁 𝗺𝗲𝗻𝘁𝗶𝗼𝗻𝗶𝗻𝗴 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀

This is the biggest mistake. Projects are your proof of skill, the difference between telling and showing.

--

Which of these mistakes have you seen (or made yourself 😅)?

Let’s fix them before the next job application.

#resume #data #career #21dayschallenge #day18

In data analysis, everything starts (and fails) with dates.

Be it SQL, Power BI, or Excel

if your dates go wrong,

your entire analysis goes wrong.

Here are a few best practices to keep your dates in check 👇

✅ Maintain a separate Date Table 

Always have one in your model for consistent filtering and time intelligence.

✅ Use standardised formats 

Stick to a single format (like YYYY-MM-DD) across all your data sources.

✅ Verify date ranges 

A simple check on start and end dates can save hours of debugging later.

✅ Use date functions 

Functions like DATEADD, EOMONTH, or DATEDIFF are your best friends; don’t reinvent the wheel.

✅ Handle missing or incomplete dates

Watch out for nulls or placeholders like “1900-01-01”. They can quietly distort your charts.

✅ Consider time zones 

If your data comes from multiple regions, account for time zone differences. (I’ll share my experience with this one in another post 😅)

Have you ever spent hours debugging a report…

only to realize the issue was a wrong date format?

👇 Share your “date horror” story in the comments!

#21dayschallenge #day14 #data

taplio

The Battle

Kedeisha Bryan

NAVEEN S

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The Battle

Kedeisha Bryan

NAVEEN S

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}NAVEEN S's LinkedIn Performance

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