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

Amazon

Researcher

Self employed

IT support specialist| Hardware/ Desktop Technician

EKS Group, LLC

Operational Analyst

ManTech

Senior DCGS-A Embedded Mentor

Six3Systems

Intelligence Analyst

Quick Services LLC (QSL)

SAIC

Intelligence Analyst II

U.S. Army

I am an experienced Data Scientist and Veteran leveraging over six years of proven experience performing data analysis and developing analytic solutions to aid leadership in making faster, data-based decisions. As a former intelligence analyst, I used predictive and prescriptive analysis to understand competitor trends while working in cross-functional teams. 
Once I got out of the intelligence community, I searched for what to do next. I found Data Analytics and Data Science. This reminded me of as an analyst in the military, such as cleaning and visualizing data. I set out and obtained my Master’s degree in Data Analysis. During my studies, I also learned about Machine Learning (ML) and Artificial Intelligence (AI) such as Neural Networks and Market Basket Analysis. 
I am skilled in data analytics, data visualization, report generation, project management, research, and data mining. Experienced in various tools and software of diverse global industries to improve the efficiency of the team’s efforts through Python, Microsoft Excel/ Pivot Tables, SQL, and ArcMap/ArcGIS-based solutions on multiple data structures.

taplio

The Battle

Kedeisha Bryan

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