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 * Meet Mosaic
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     Science – your gateway to the dynamic world of AI and Machine Learning.
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       that navigate the complexities of AI, machine learning, and data-driven
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       unearth hidden opportunities, and illuminate the path to informed
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       insights, propelling businesses into a future of success.
     * White PapersMosaic Data Science’s whitepapers are authored by our AI/ML
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MACHINE LEARNING, ARTIFICIAL INTELLIGENCE, DATA SCIENCE, AND PREDICTIVE
ANALYTICS ARE MORE THAN JUST BUZZWORDS TO US. THEY ARE OUR CORE BUSINESS.

Mosaic is a leading data science consulting company focused on helping
organizations build and deploy actionable analytics solutions. Our customers are
as varied as the techniques we use – some just starting their first predictive
analytics project; others with deep in-house machine learning expertise.


GET TO KNOW US

Whether you are looking for additional bandwidth to prototype a cutting-edge
algorithm or simply want to know what “artificial intelligence” means and if it
applies to you, we’ve got you covered. Our world-class team of analytics
professionals will work with your business, starting wherever you are now. From
quick proof-of-concept (POC) sprints to enterprise-scale AI deployments, we are
flexible and focused on efficient delivery of value. We can also “teach your
team to fish” with targeted training workshops and strategic consulting.

With backgrounds in diverse fields such as operations research, social and life
sciences, physics, math, and engineering, our team will generate creative
solutions that combine industry best practices with innovative ideas. We will
make sure your stakeholders understand what we are building and why so they have
the confidence to rely on the tools we help you create.

Mosaic’s headquarters are located in the Washington, D.C. metro area. We have
consultants across North America and clients around the globe.






MISSION STATEMENT

MOSAIC DATA SCIENCE MAKES COMPLEX ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
SOLUTIONS ACTIONABLE, EXPLAINABLE, AND USABLE TO ANY ORGANIZATION. DATA SCIENCE
SHOULD BE AVAILABLE AT SCALE TO ALL FIRMS, WHETHER YOU ARE JUST STARTING TO
THINK ABOUT IT OR ALREADY HAVE AN ESTABLISHED TEAM.

Mosaic Data Science was founded under our parent company Mosaic ATM, a leader in
aviation research and development, under the premise that we had built a
high-performing team of data scientists who could provide advanced analytics
beyond the aviation sector to help combat the data science skill shortage and
help our clients ascend the analytics maturity curve.

Since 2014 we have done just that; successfully partnering with organizations in
every major industry, keeping our focus on data science. As a result, our
clients can use these powerful insights to make better decisions that benefit
all stakeholders.





OUR TEAM

We leveraged deep learning techniques to place our headshots in the styles of
iconic paintings, photographs, movie posters, and more! To see the original
print for each headshot, just click on the person’s name.

Chris Brinton | CEO & Co-Founder

Chris Brinton
CEO | Founder
More than two decades of R&D experience in logistics. Founded Mosaic Data
Science in 2014 and Mosaic ATM in 2004. Leads numerous analytics projects
focused on improving the efficiency and safety of the National Airspace system.
MS Electrical Engineering, Stanford | BSE Mechanical and Aerospace Engineering,
Princeton

Chris Provan | Managing Director of Data Science

Chris Provan
Managing Director of Data Science
Over 15 years successfully leading and executing advanced analytics projects for
customers in a wide range of industries. Organizational analytics strategy coach
and data science training instructor. Expert at integrating advanced
statistical, optimization, and computer science techniques into decision
processes to drive measurable impact on business outcomes. MS Operations
Research, Cornell | BS Math Vanderbilt | INFORMS Certified Analytics
Professional

Steve Atkins | EVP & Co-Founder

Steve Atkins
EVP | Founder
Analytics R&D experience for over two decades. Expert in decision support,
advanced analytics and application of concepts to increase business efficiency.
Numerous scientific publications. PhD, SM, SB Aeronautics and Astronautics, MIT.

Drew Clancy | VP of Marketing & Sales

Drew Clancy
VP of Marketing & Sales
Marketing professional with over a decade of helping companies grow through
innovative marketing program design. Sets marketing strategy and executes that
plan through a test and learn methodology. Interacts with prospects and clients.
MBA Marketing Management, Business Analytics Syracuse University | BA
English/Journalism, University of New Hampshire.

Sean Osis | Director of Data Science

Sean Osis
Director of Data Science
Over a decade of professional analytics experience bringing together skills from
data management, analysis, visualization, and primary research. Applies this
diverse skillset to develop novel tools and technologies for a variety of
industries, including sports and healthcare. Leads operations in Canada. MSc
Sports Biomechanics, University of Calgary | BKin Biomechanics, University of
Calgary | INFORMS Certified Analytics Professional

Juan Rebollo | Chief Data Scientist

Juan Rebollo
Chief Data Scientist
Data scientist with over 10 years of experience developing statistical,
optimization and data mining models with the goal of obtaining meaningful
information from data and improving system efficiency. Experience in multiple
industries, including banking, transportation, broadcast media, oil and gas, and
retail. MS Aeronautics and Astronautics, MIT | BS Telecommunications
Engineering, University of Seville.

Mike Shumpert | VP of Data Science

Mike Shumpert
VP of Data Science
Over two decades of product/service development across diverse industries. Solid
record of applying data science to produce double-digit revenue growth and cost
savings in both small and large companies. Formerly VP of Analytics for Software
AG and VP of Global Product Management for Dun & Bradstreet. MBA, Georgetown |
BS Systems Engineering (Operations Research), University of Virginia.

Keith Rudd | Principal Data Scientist

Keith Rudd
Principal Data Scientist
Data scientist with over 10 years experience in research, algorithm development,
and software development in Big Data environments. Worked on applications
ranging from object detection/localization in overhead imagery to data fusion of
multiple modalities. PhD Mechanical Engineering Duke University | MEM
Engineering Management Duke University | | MS Applied Mathematics Northwestern
University | BS Mathematics Brigham Young University

Priya Karanth | Principal Data Scientist

Priya Karanth
Principal Data Scientist
Multiple year's expertise in building AI/ML models across broad domains. Works
closely with external stakeholders to define problems and collaborates with
teams to develop effective approaches. Extensive experience using deep neural
networks for computer vision and developing adaptive vision algorithms. MEng
Petroleum Engineering, University of Alberta, Canada | BS Chemical Engineering,
Visveswaraya Technological University, India.

Evan Lynch | Principal Data Scientist

Evan Lynch
Principal Data Scientist
6 years of data science & consulting experience across a variety of sectors
including logistics, healthcare, utilities, technology, government & defense.
Expertise in solving complex optimization problems. Passionate about using
machine learning and optimization to drive tactical and operational decision
making. MS, Operations Research, George Mason University | BBA Operations &
Information Management, UMass Amherst

Daniel Salazar | Principal Data Scientist

Daniel Salazar
Principal Data Scientist
Data scientist with close to 15 years of experience in applied research in both
academic and commercial settings. Supports a wide variety of clients using
statistics, optimization, simulation, and machine learning to solve problems in
different areas including critical infrastructure protection and risk and
reliability engineering and predictive algorithms for SaaS companies.
Collaborates with clients and internal staff throughout all phases of product
development—ideation to productization.

Shaymaa Khater | Senior Data Scientist

Shaymaa Khater
Senior Data Scientist
Senior Data Scientist with over 12 years of experience in the data science
field, with a wide range of expertise in cutting-edge technologies, including
computer vision, deep learning models, natural language processing, and
recommendation systems. Ph.D., Computer Science and Applications, Virginia
Polytechnic and State University, Blacksburg, VA | MS Computer Science Ain Shams
University, Egypt | BS Computer Science, Ain Shams University, Egypt

Zach Cleghern | Senior Data Scientist

Zach Cleghern
Senior Data Scientist
Senior Data scientist with several years of experience in using machine learning
and analytics and designing and building data-focused systems to solve problems
in a variety of domains. Experienced in modeling, including deep learning, data
analysis, software engineering and cloud deployment with a focus on time series
and sensor systems.

Austin Stegall | Senior Data Scientist

Austin Stegall
Senior Data Scientist
Senior Data Scientist with several years of experience in providing AI/ML
solutions across the energy and defense sector. Experience in deep learning,
computer vision, and providing analytics solutions to engineering/automation
applications. MS Data Analytics, Clarkson University | BS Mechanical
Engineering, Clarkson University.

Griffin Thornton | Senior Data Scientist

Griffin Thornton
Senior Data Scientist
Data Scientist with 5 years of experience generating value for customers from
their data. Specializes in machine learning with experience manipulating a
variety of data formats, from network data to text, to create actionable
insights. Proficient in Python, SQL, and the Hadoop Ecosystem. B.S. - University
of Michigan, M.S. - Loyola University Maryland

Alex Tennant | Senior Data Scientist

Alex Tennant
Senior Data Scientist
Data Scientist with years of experience in project scoping and design, research,
optimization, statistical and mathematical modeling, model predictive control,
machine learning, and optimization. Experience ranging from proof-of-concept and
prototype modeling, to production models for clients in a broad range of
industries. M.Sc Physics - University of Calgary, B.Sc Physics - University of
Calgary.

Karis Jochen | Data Scientist

Karis Jochen
Data Scientist
Data Scientist with a broad range of business knowledge and experience
supporting ML/AI efforts. Emphasizes solution optimization and maximizing
meaning from data through feature engineering and advanced analytics. Skilled in
python programming, text analytics and communicating technical solutions.

McKenzie Quinn | Data Scientist

McKenzie Quinn
Data Scientist
Data Scientist with 3 years of experience in providing end to end machine
learning solutions in varying domains. Experience in natural language
processing, forecasting, model deployment and data engineering. Google Cloud
Certified Professional Data Engineer | MS Data Science, Indiana University –
Bloomington | BA Statical & Actuarial Mathematics, Saint Mary’s College – Notre
Dame.

Brandon Chan | Data Scientist

Brandon Chan
Data Scientist
Data Scientist with years of experience in data analytics and developing machine
learning applications in domains such as healthcare and chemometrics.
Experienced in collaborating in multidisciplinary environments to create
solutions from the ground up including data acquisition, data processing, model
development, and model deployment. MSc Computer Science, Queen’s University |
BComp Computer Science, Queen’s University

Tyler Norkus | Director of Sales

Tyler Norkus
Director of Sales
Tyler enjoys connecting business and operational performance with emerging
technologies including AI/ML, IIoT, Edge Computing, and Big Data. He has an MBA
from the University of Louisville and 8 years’ technology experience leading
global enterprise engagements and coordinating internal and external teams to
deliver transformative results. When he is not working, he enjoys hiking with
his black schnauzer Pepper, listening to podcasts with his wife Lisa, and trying
new spicy foods.

Melissa Rodriguez | Digital Marketing Specialist

Melissa Rodriguez
Digital Marketing Specialist
End-to-end content marketer who can handle strategy and execution to bring ideas
to life. Passionate writer with a knack for words and 5 years of experience
creating content for various marketing channels & industries. MS in Web Design
and BS in Public Relations at the University of Florida.




HOW WE HELP OUR CUSTOMERS

ARTIFICIAL INTELLIGENCE GROUNDED IN VALUE

Mosaic excels at quickly identifying artificial intelligence (AI) opportunities
that drive value for all an organization’s stakeholders. We have seen AI
deployed correctly & incorrectly and know what to evaluate across an
organization.

Our data scientists come from diverse backgrounds and have worked in
professional analytics roles for several years. This data science strength
allows us to quickly translate math into business and vice versa.

Collaboration is crucial to deploy advanced AI effectively, and Mosaic works
closely with our customers to ensure that our solutions are innovative and
impactful. We know when to balance explainability with model performance.


Award-winning Artificial Intelligence Solutions

STATE-OF-THE-ART MACHINE LEARNING SERVICES

Mosaic excels at challenges that require a predictive or prescriptive model. Our
data science staff enjoy deploying several algorithmic approaches to drive
better decisions and outcomes.

As the name implies, Mosaic specializes in building predictive analytics. Our
data scientists are fluent in the full spectrum of machine learning (ML)
techniques, leveraging practical expertise in deep learning, reinforcement
learning, and unsupervised learning. We know how and why to deploy a
convolutional neural network vs. a support vector machine based on desired
inputs and outcomes.

Whether staff augmentation services or proof of concepts are required, Mosaic
will handle the complex mathematics behind the scenes, letting you focus on
running your organization with ML-driven insights and automation.


Creative & Practical Machine Learning Development

MATHEMATICAL OPTIMIZATION

Mosaic crafts custom optimization solutions that don’t just crunch numbers but
recommend strategic success under constraints. Optimization is where algorithms
show paths to the best decisions to help solve common problems major industries
face, including scheduling, routing, assignment, and others.

We take a holistic approach to problem-solving, focusing on developing custom
applications that fit your ecosystem rather than trying to fit prebuilt
solutions that don’t integrate into your workflow.

The market is hungry for optimization specialists with real-world experience,
but the search can be a maze. Mosaic offers firms a strategic way to tap into
our expertise without the overhead headaches.


Holistic & Targeted Optimization Services


DOWNLOAD OUR ONE-PAGER DESCRIBING OUR UNIQUE APPROACH TO DATA SCIENCE.



Unlike others in the industry, we will not overwhelm a project with force. Being
a smaller, top data science consulting company allows us to be more strategic
and forces us to focus on excellent customer outcomes. We pride ourselves in the
ability to help our customers ascend the analytics maturity curve. We have done
this through quick-win projects, staff augmentation, capability development, and
strategic consulting. Have a data science need? Let us know!

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