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

Job descriptions often list every skill imaginable and many times, the company doesn’t even know what they truly need.

Here’s the reality:

You don’t need to master Python, SQL, Tableau, ETL, AI, ML, and every other tool mentioned.

Most candidates get hired because they can:
- Pull data with SQL
- Build a clear, effective dashboard
- Communicate insights in a way that makes sense

That’s it.

Don’t let job postings convince you that you’re not ready.

Focus on demonstrating that you can solve real business problems. 

That’s what actually leads to an offer.

👇🏽 What’s the most unrealistic job requirement you’ve ever seen?

I used to deliver pizzas, now I deliver insights | I help career changers launch $100k analytics careers without going back to school

You keep applying to data analyst roles… and hearing crickets.

There’s a reason for that.

Today, I’m breaking down exactly what you need to do before you hit “apply” so you stop blending in with every other candidate and finally start getting interviews.

Most people are making the same mistakes over and over again.

And wondering why nothing changes.

Watch this and fix it.

Your future hiring manager will thank you.

Stop using LinkedIn Easy Apply if you actually want to get hired as a Data Analyst.

Here's the truth nobody's telling you:
Easy Apply is where resumes go to die.

You're competing with 500+ other applicants who clicked the same button in 3 seconds. Zero differentiation. Zero context. Zero chance.

Meanwhile, the analysts who ARE getting hired? They're not playing the volume game.

They're building proof.

Real projects. Real skills. Real experience that makes recruiters stop scrolling.

So if you're done disappearing into the Easy Apply black hole and ready to actually stand out…

Comment "READY" and I'll send you my exact framework on how to get hired as a Data Analyst.

Live Data Analyst Resume Review with REAL Tech Recruiters 🚨

If you’ve been applying to data roles and hearing crickets, this session is your reality check.

We’re breaking down real resumes LIVE so you can finally see:

- What makes a recruiter stop scrolling
- What gets you rejected in under 10 seconds
- How to position yourself like a top-tier data analyst

If you’re serious about landing interviews in 2026, you cannot afford to keep guessing.

Bring your resume. Bring your questions.

You’ll walk away knowing exactly what to change, what to highlight, and what to delete.

Emily Nelson de Velasco and 46 other attendees

Live Data Analyst Resume Review with REAL Tech Recruiters

The degrees is no longer the golden ticket.

They cost more than ever, pay off less than ever, and 63% of Americans now say they aren't worth the price. 

The biggest reason? 

Graduates still lack the specific, job-ready skills needed to succeed. The Real Game: It’s not about the diploma. It’s about the direct, applicable skills and solving problems.

Are you seeing this shift too? Drop your thoughts in the comments.

Voxel51

• Explore, tinker with, and push the boundaries of the latest AI and machine learning technologies to showcase what's possible with open-source tools and frameworks

• Build inspiring prototypes, proof-of-concepts, and example applications that demonstrate creative and impactful uses of AI to the developer community

• Contribute meaningfully to the open source ecosystem by creating and maintaining libraries, tools, datasets, tutorials and guides that enable developers to more easily leverage AI capabilities

• Curate, clean, annotate and publish unique multimodal datasets spanning text, images, audio, video, 3D and other emerging data types to facilitate novel machine learning research and applications

• Create engaging technical blog posts, social media content, videos, and presentations that educate and inspire developers and data scientists to build with AI

•  Collaborate openly with our internal teams and the broader AI/ML community to cross-pollinate ideas, share knowledge, and collectively advance the state-of-the-art

• Evangelize our technology and vision by representing the company at hackathons, conferences, meetups, universities, and other developer-focused events

•  Influence the product roadmap by providing input on the developer experience, uncovering opportunities for new features and improvements based on community feedback and your work

• Continuously learn, experiment with, and provide feedback on beta versions of our latest models and capabilities to help shape the future of our platform

Hacker-in-Residence

1) Introductory computer vision course for LinkedIn Learning

2) Prompt Engineering with LangChain (releasing March 2024)

3) RetrievalAugemnted Generation with LlamaIndex (releasing Q2 2024)

4) Fine-tuning LLMs with Hugging Face TRL (est release Q3 2024)

5) Text Generation with Hugging Face Transformers (est release Q3 2024)

The Artists of Data Science

The ONLY personal growth and development podcast for Data Scientists

Host

Deci AI

Developer Relations Manager

Pachyderm Inc.

Senior Developer Advocate

Comet

ML Developer Advocate

Data Science Dream Job

Principal Data Science Educator

Price Industries

Lead Data Scientist

Bold Commerce

Senior Data Scientist

Emergent BioSolutions

Biostatistician

I create content about deep learning | The DevRel and Deep Learning Dude

Hacking on LLMs, curating multimodal datasets, and writing a book about RAG.

Harpreet Sahota 🥑

sam3 is seriously a step change improvement over sam2

the model is seriously good, glad they brought back text prompts. the automatic segmentation isn't as good as i hoped it to be...but it still works quite well. 

i also got it to output image embeddings and that was cool to visualize in the app

learn more here: https://lnkd.in/gzqJzj6G

🤖 Hacker-in-Residence @ Voxel51| 👨🏽‍💻 AI/ML Engineer | 👷🏽‍♀️ Technical Developer Advocate | Learn. Do. Write. Teach. Repeat.

qwen3vl is literally the best model i've used for video usecases. blows my mind

hosting a virtual event tomorrow about document ai

you may or may not find it interesting, but i guarantee you'll learn something

join me here: https://lnkd.in/dFXPimVc

sony ai released a pretty cool dataset called the fairness human centric image benchmark, super high quality labels

instructions for downloading and parsing the dataset into fiftyone format can be found here: https://lnkd.in/g_VwxJx4

physical AI is top of mind as the next frontier for deep learning. but it'll only succeed if you have good datasets

language models scaled with web-scale text. 

vision models got ImageNet. 

now Voxel51 and NVIDIA are trying to do the same thing for physical AI 

autonomous vehicles, humanoid robots, anything that moves around atoms.

building these systems means millions of hours of testing in high-fidelity sims before you can actually deploy anything. 

petabytes of multimodal sensor data from various modalities

 LiDAR, cameras, radar, IMUs. 

but over 50% of simulations end up completely unusable because the input data is bad.

even small calibration or timing errors between sensors cascade through your neural reconstructions. 

you waste weeks and burn through millions in compute costs before you realize what went wrong.

the new FiftyOne Physical AI Workbench. it integrates with NVIDIA Omniverse and NVIDIA Cosmos and basically sits at the start of your sim pipeline to validate, clean up, and prep your multimodal data before it hits neural reconstruction and synthetic data generation.

what it does:

- automatically audits physical AI inputs across 75+ critical checkpoints

- transforms raw sensor streams into structured, searchable datasets

- triggers accurate neural reconstructions and generates synthetic scene variations

this means fewer wasted compute hours. 

iteration loops go from weeks to hours. 

you build safer, more reliable systems on data you can actually trust.

read more about what we've been building: https://lnkd.in/gC6_zn-X

taplio

The Battle

Kedeisha Bryan

Harpreet Sahota 🥑

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taplio

The Battle

Kedeisha Bryan

Harpreet Sahota 🥑

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);}Kedeisha Bryan's LinkedIn Performance

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Performance ScoreKedeisha Bryan's LinkedIn Performance