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

Responsible for supporting growth and innovation through our AI Center of Excellence at oLabs™. oLabs™ is where our diverse team of misfits, ML academics, and subject matter experts build mission-specific, AI-enabled capabilities with the goal of improving data-to-decision processes and warfighter efficiency. At oLabs™, we do not believe in 'one size fits all' AI applications. Every sensor, data source, problem, and question requires an intimate understanding of the operational environment. We bring these elements, along with deep technical expertise and empathy, to every step in the technology development process.

Deputy Director, oLabs' AI Center of Excellence

William & Mary – Raymond A. Mason School of Business

• Adjunct faculty member for the Mason School of Business' Online Master of Science in Business Analytics (MSBA) program.

• The Mason School's Online MSBA program provides students with an unmatched competitive advantage by maximizing their computing and modeling skills while honing their ability to apply data science to strategic business planning.

• The Mason School's faculty are industry experts who have actively engaged in their respective business fields. In a testament to the Mason School's standards of distinction, the Princeton Review ranked Mason School professors as the 𝗡𝘂𝗺𝗯𝗲𝗿 𝟱 𝗕𝗲𝘀𝘁 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗦𝗰𝗵𝗼𝗼𝗹 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗼𝗿𝘀 𝗮𝗰𝗿𝗼𝘀𝘀 𝘁𝗵𝗲 𝗻𝗮𝘁𝗶𝗼𝗻 (https://tinyurl.com/424ebs3u).

• Founded in 1693, William & Mary is the 𝘀𝗲𝗰𝗼𝗻𝗱-𝗼𝗹𝗱𝗲𝘀𝘁 𝗵𝗶𝗴𝗵𝗲𝗿 𝗲𝗱𝘂𝗰𝗮𝘁𝗶𝗼𝗻 𝗶𝗻𝘀𝘁𝗶𝘁𝘂𝘁𝗶𝗼𝗻 𝗶𝗻 𝘁𝗵𝗲 𝗨𝗻𝗶𝘁𝗲𝗱 𝗦𝘁𝗮𝘁𝗲𝘀 
(https://en.wikipedia.org/wiki/College_of_William_%26_Mary) and is considered one of only eight “𝗣𝘂𝗯𝗹𝗶𝗰 𝗜𝘃𝘆” universities in the country (https://en.wikipedia.org/wiki/Public_Ivy).

• As of 2023, the Mason School of Business is ranked:
    #𝟭 for "Best Business School for Learning" by Bloomberg (https://tinyurl.com/y579ss54)
    #𝟱 for "Best Business Professors" by The Princeton Review (https://tinyurl.com/424ebs3u)
    #𝟴 for "Academic Experience" by Poets&Quants (https://tinyurl.com/2xwxrdku)
    #𝟭𝟮 for "Career Outcomes" by Poets&Quants (https://tinyurl.com/ymz7wwat)
    #𝟮𝟭 for "Best Online Master's in Business Programs" by U.S. News & World Report (https://tinyurl.com/3sm7dvdx).

Adjunct Professor of Business Analytics

CompTIA

• As a Data CAC appointee, I provide advice and guidance to CompTIA regarding the strategic direction of the industry's leading certifications related to data science & machine learning.

• As a Data Science+ SME, I contribute to the development phases of CompTIA’s Data Science+ certification exam. This includes participating in Job Task Analysis (JTA) workshops, helping to identify exam domains & objectives, and assisting with item writing & review.

Data Certification Advisory Committee Appointee | Data Science+ Subject Matter Expert

Octo

• Collaborate with senior members of Octo's DoD/IC business development team to effectively showcase the AI Center of Excellence’s (CoE) capabilities for both current and potential U.S. Government clients.

• Work closely with oLabs' AI CoE Director to formulate the center's current contract pipeline, which is designed to win work that is complimentary to our IR&D-funded accelerators, further entrenches us in target federal government sectors, and will bolster oLabs' reputation as an engineering lab that delivers transformative AI solutions.

• Contribute technical writing as part of responses to government requests for information, whitepapers, and proposals.

• Regularly meet with current clients to communicate strides on contractual requirements & deliverables.

• Consistently cultivate an environment of trust and integrity, inspiring team members to take initiative, innovate, and make decisions confidently. Recognize and appreciate team members' successful efforts in securing contracts and achieving technical victories.

• Facilitate hiring and promoting top performers who are capable of leading the development of artificial intelligence and automation solutions.

• Coordinate and oversee collaborative training events with industry partners such as NVIDIA, ensuring engineers in our AI CoE are always prepared to deploy state-of-the-art solutions for our clients.

• Managed the data science, statistical, & algorithm-related research, development, and implementation for Hatteras, Octo's MLOps platform.

• Designed & managed the development of an AI opportunity evaluation tool. This tool is fielded to help Octo's business development team identify good-fit AI opportunities that are well-postured to result in positive outcomes and satisfied clients.

• Developed multiple tailored career learning paths for the AI CoE, providing a feasible means by which to organically cultivate impossible-to-recruit, niche AI skill sets (e.g., RF Machine Learning Engineer).

Principal Machine Learning Engineer

• Made personal technical contributions to the Hatteras MLOps platform in the following areas: 1) combatting model decay by researching/prototyping various drift detection methods, 2) streaming outlier detection, 3) interpretable ML models/post-hoc model explainability, 4) approaches to model training that minimize the ground truth labeling burden - e.g, Active Learning, and 5) other data-centric approaches to MLOps.

• Presented at USGIF's GEOINT Symposium 2022 on behalf of oLabs' AI CoE. The presentation, entitled 𝘠𝘰𝘶𝘳 𝘔𝘓 𝘔𝘰𝘥𝘦𝘭 𝘐𝘴𝘯'𝘵 𝘎𝘰𝘪𝘯𝘨 𝘵𝘰 𝘔𝘢𝘪𝘯𝘵𝘢𝘪𝘯 𝘐𝘵𝘴𝘦𝘭𝘧, communicated the urgency for full-spectrum MLOps in an ever-changing world and was well-received by its audience.

Senior Machine Learning Engineer

Battelle

• Performed statistical design, modeling, and analysis.

Data Scientist III

• Developed a Python toolbox using ArcGIS Pro that empowers government and military users to quickly run their own RF propagation simulations, driving mission decisions within their respective organizations. The project leveraged Python, ArcPy, and geospatial data from IC Agency APIs.

• Selected to serve a 3-year term on Battelle' s Emerging Scientists and Engineers Council (ESEC). As an ESEC member, I spearheaded an initiative to assist ESEs with career progression and provided critical support to another initiative focused on helping regional ESEs build meaningful relationships throughout the organization.

Data Scientist II

STEMBoard

• Configured scripts to automate the processing of large volumes of geospatial data. Included automating the filtering of data sets based upon features in shapefiles, conducting spatial joins (union, intersect, etc.), and conversions between geospatial coordinate systems.

• Routinely created Python functions/modules to aid the automation of critical routine tasks (data conditioning, geospatial data operations, etc.).

• Identified and evaluated appropriate data sources for analytic development in response to the needs of a regional analysis directorate.

• Regularly leveraged the following technologies & libraries: Python, Pandas, NumPy, GeoPandas, Shapely, Fiona, Matplotlib, Simplekml, FidOS, and cProfile/Python code optimization.

Data Engineer

Integral Federal, Inc.

• Analyzed cyber threats to U.S. Army equities. Focus areas include cyber threats emanating from Iran and cyber threats to Ground Combat Systems (GCS).

• Jul 2018: CompTIA Security+ ce Certified.

Cyber All-source Intelligence Analyst

• Promoted to Senior I2 Analyst/Team Lead and established a new team within National Ground Intelligence Center's (NGIC) Biometrics Intelligence Program (BIP). This team provides I2 support for the Operational Risk Management (ORM) and asset validation needs of a SOCOM customer.

Senior Identity Intelligence (I2) Analyst

• Feb 2017 - May 2017: Deployed providing embedded I2 support to a SOCOM customer. Support focused on assisting with asset validation and empowering leaders to make informed decisions regarding ORM.
• I2 Analyst on the BIP's Vetting and Target Development Team.

Identity Intelligence Analyst

U.S. Army Cyber Command

• Edited and conducted quality assurance/control checks for ARCYBER's Open-source Intelligence (OSINT) Reports (OSIRs) and Open-source Analysis Reports (OSARs) prior to publication.

• Evaluated new OSINT tools/technologies (both technological capability and compliance with ARCYBER's mission/authorities/intelligence oversight requirements). Provided feedback from these evaluations to INSCOM's Army OSINT Office (AOO).

• Instructed the OSINT block of ARCYBER's Live Environment Training (a Foundry course).

• Attended OSINT conferences hosted by DoD and Intelligence Community (IC) agencies as an ARCYBER representative.

Intelligence Specialist (GG-0132-13)

SAIC

• Conducted OSINT collection and authored OSIRs/OSARs in support of ARCYBER's intelligence requirements. These were written in compliance with all applicable intelligence oversight policy.

• Analyzed large datasets (500,000+ records) and create meaningful visualizations of the data to bolster ARCYBER leadership's understanding of the cyber battle space.

• Created automated macros to maximize efficiency in the Open-source Cell's daily workflow. 

• Assisted ARCYBER's OSINT Cell in the evaluation of new OSINT tools/technologies.

Senior Open-source Intelligence (OSINT) Analyst

CACI International Inc

• Supported requests from forward deployed SOCOM elements for Target Support Packages (TSP). 

• Conducted analysis on the Islamic State in Iraq and the Levant's (ISIL) intent, operations and high profile attacks in northern Africa, with a focus on western Libya and Tunisia. This analysis was done onsite in support of a SOCOM customer. 

• Supported a SOCOM customer by authoring a proposal requesting additional authorities in accordance with U.S. Policy Standards and Procedures for the Use of Force in Counterterrorism Operations Outside the United States and Areas of Active Hostilities.

• Completed 177.75 hours of cross-training, and an additional 40 hours of practical exercises, for OSINT, social network and social media collection & analysis (list of completed courses available upon request).

• Co-authored an information paper concerning the apocalyptic themes fundamental to the Islamic State's eschatology, vulnerabilities inherent to those themes, and how military strategy could be used to exploit those vulnerabilities.

• Staff Integration Seminar (SIS) Qualified (July 2015 / FT Bragg, NC).

• Fast Track Program (FTP) Qualified (July 2015 / FT Bragg, NC).

Senior All-source Intelligence Targeting Analyst

Ted Hallum is an innovative leader at IBM, driving advanced AI solutions to address the complex challenges federal government clients face. Drawing on his experience in the U.S. Army and the Intelligence Community (IC), Ted deeply understands the federal sector's unique demands, enabling him to effectively guide engineering teams in creating targeted AI systems that solve customer pain points.

Ted possesses a diverse background spanning the DoD, the intelligence community, academia, law enforcement, tech, and GovCon. Moreover, he is recognized for his thought leadership as an Adjunct Professor of Business Analytics at the College of William & Mary and a Data Certification Advisory Committee Appointee at CompTIA. Ted holds a Master of Science in Business Analytics, a Post-Baccalaureate Associate of Applied Science in Intelligence Operations, and a Bachelor of Science in Biblical Studies. His accomplishments have garnered multiple career awards and military medals, including the Meritorious Service Medal and two Bronze Star Medals.

As the Founder of the Veterans in Data Science & Machine Learning community (VDSML), Ted champions the belief that a rising tide lifts all boats, and his leadership at VDSML provides multiple avenues of support to those with U.S. military service who are transitioning into quantitative careers.

Ted's contributions to AI and ML are highly valued in the GovCon space, and, as a leader, he constantly pushes the boundaries to deliver cutting-edge AI and ML solutions for our nation's warfighters and civil servants.

taplio

The Battle

Kedeisha Bryan

Ted H.

Followers

Posts

Engagements

Likes

Ready to grow your LinkedIn presence?