Adam D.
Founder at Atazzo
Leader; follower.  Teacher; learner.
Senior executive with an exemplary record in the design, development and delivery of cost-effective, high-performance technology teams and systems.  Unique experience in national security, cybersecurity, and technology scalability.

Strong research and data science background with experience in building and leading teams  to produce groundbreaking machine learning and AI products.

History of conceiving and implementing unique strategies to optimize business operations, elevate productivity, and boost revenue.

Deliver solutions as a change agent, visionary, and forward thinker capable of critically evaluating and responding to diverse issues.

Thrive in a fast-paced environment of continuous challenges.  Proactive leader, coach, and mentor with team-based management style.
Atazzo
https://www.linkedin.com/company/atazzo
Atazzo works with Boards and C-suites to provide technical leadership and advising.  We provide expert guidance on topics of organizational structure and change management, cybersecurity and risk management, developing and accelerating technical teams, data processing systems and infrastructure, and building data and leadership capabilities in organizations.
Texas, United States
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Founder
United States Department of Defense
https://www.linkedin.com/company/deptofdefense
Served as Chief Technology Officer, working directly for the Under Secretary of Defense for Intelligence and Security.

The Under Secretary of Defense for Intelligence and Security (USD(I&S)) is the principal advisor to the Secretary of Defense on intelligence, counterintelligence, and security matters.

The Under Secretary is responsible for all intelligence and security organizations within the Department of Defense (DoD), including the National Security Agency (NSA), the Defense Intelligence Agency (DIA), the National Geospatial-Intelligence Agency (NGA), the National Reconnaissance Office (NRO), the Defense Counterintelligence and Security Agency (DCSA) and the intelligence components of the combatant commands and military services.
Arlington, Virginia, United States
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Chief Technology Officer
White House Presidential Innovation Fellows
https://www.linkedin.com/company/white-house-presidential-innovation-fellows
The Presidential Innovation Fellows program is a competitive fellowship program that pairs top innovators from the private sector, non-profits, and academia with top innovators in government to collaborate on solutions that aim to deliver significant results in months, not years. It was established in 2012 and has operated continuously since then.  The highly competitive program features an acceptance rate in the single digits.

As a Fellow, I worked with the Department of Defense and associated agencies to build speed of delivery on technology capabilities.  In addition to advising on strategy for technology topics like DevSecOps, software development teams, and cybersecurity/ATO/RMF, I also provided guidance and strategy on Advanced Capabilities like AI/ML, 5G, constrained computing environments, etc.  The work is a combination of strategy advising, organizational change leadership, and deep technical analysis.

As part of this work I supported a variety of organizations including the Marine Corps, the National Security Commission on AI, the Department of the Navy CIO organization (CDIO, CDO, CTO, CISO), Defense Digital Services, Army Futures Command, the Air Force, and interagency partners.
Washington D.C. Metro Area
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White House Presidential Innovation Fellow
SMU - Singapore Management University
https://www.linkedin.com/company/singapore-management-university
As an adjunct faculty member, provide guidance on the development of educational initiatives, especially for the graduate programs in analytics.

Responsibilities included development and delivery of the draft curriculum for an advanced graduate course in machine learning techniques, Big Data: Tools and Techniques.  Course description follows.

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Big Data has become a key consideration when organizations today develop strategic outlook of the consumer and market trends. Big Data sets have become an enabler to organizations in developing strategies and plans to develop compelling product and services and differentiated customer experiences at low cost by optimizing operations and processes.

Business analytics today increasingly leverages not just the traditional structured data sets to answer business questions, but also the newer forms of Big Data that can help answer new questions or even answer old questions in newer ways. Big Data is helping provide richer and newer insights into questions analytics has been answering by modeling for a richer customer and operations scenario.

As such, it is incumbent on practitioners of advance analytics to be intimately familiar with technologies that help store, manage and analyze these Big Data streams (sensor data, text data, image data etc.) in an integrated way along with more traditional data sets (e.g. CRM, ERP etc.)

This course is intended to equip students with an appreciation and a working knowledge of Big Data technologies that are prevalent in the market today along with how and when to use Big Data technologies for specific scenarios. This course will provide a foundation to the Hadoop framework (HDFS, MapReduce) along with Hadoop ecosystem components (Pig, Hive, Spark and Kafka). The course will also cover key Big Data architectures.
Singapore
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Adjunct Faculty
Skyscanner (acquired by Ctrip)
https://www.linkedin.com/company/skyscanner
Skyscanner is a leading global travel search site, providing instant online comparisons for millions of flights on over a thousand airlines, as well as car hire and hotels.

Skyscanner’s flexible search options mean you can browse prices across a whole month, or even a year, allowing you to get the best deals. You always book direct with the airline or travel agent, so you get the lowest price, with no extra fees added.

We've been in the travel business for 10 years, and we employ more than 30 different nationalities from our global offices in the UK, Singapore, Beijing, Shenzhen, Miami and Barcelona. We have over 60 million visitors every month who use us to find flights in more than 30 different languages - we hope we can help you find yours too!
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Chief Data Officer
zanox
https://www.linkedin.com/company/zanox
As Chief Data Scientist:

* Responsible for creating and improving the entire data pipeline, from collection, to storage, to analysis tools and methods, and finally into data products.

* Built an expert team of Data Scientists with diverse nationalities, educational backgrounds, and skill sets.

* Worked with the Data Science team to bring more data-driven thinking and decision making throughout the organization, across all departments and hierarchies.

* Developed new and innovative event-driven architectures to allow for high-speed and soft-real-time processing of massive data volumes, thus allowing teams to incorporate data components into their products independently.  This results in faster product development and time to market, better data access for Data Science and other teams, and ultimately better customer experience.

* Pioneered data stewardship efforts across the company and subsidiaries, and joined together and standardized disparate data sets to unlock unrealized value.

* Provided strategic perspective, post-merger integration planning, and critical technical insight and due diligence for corporate M&A activities.

As Director of Engineering:

* Responsible for overall leadership and vision for systems design, architecture, and tools needed to optimize and enhance current business operations, while simultaneously laying the foundation for future expansion of product lines, revenue streams, and further international growth.  This includes designing distributed systems and event-driven architectures to support operations and activities in over 50 countries, as well as new data-driven products and services and cooperation with industry partners.

* Responsible for HR topics for the entire engineering group, including performance management, hiring, staff development, etc.

* Responsible for capex/opex budgeting and forecasting, corporate strategy development, engineering process management, defining quality standards and monitoring programs.
Berlin Area, Germany
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Chief Data Scientist and Director of Engineering
madvertise Mobile Advertising
https://www.linkedin.com/company/madvertisegroup
Established and lead a world-class Research and Data Science Department with particular focus in the following areas:

* Real-time methods for measuring and identifying/fingerprinting unique users and devices to support products with audience clustering and discovery, user segmentation, behavioral targeting, retargeting, and user profiling.  Undertook an industry-changing research initiative away from cookie-based approaches and towards mathematically-sound entropy-based methods of measuring the uniqueness of users.  Outperformed leading third-party user and device detection/fingerprinting systems by 940% resulting in significant savings and improve effectiveness over using a third-party solution.
 
* Designed optimized auction systems and machine learning technologies in order to support a Real-Time Bidding (RTB) infrastructure and associated optimizations (seller revenue, Pareto Optimality, predicting click-through rate, etc.).  System is designed to support very high frequency (over 100,000 auctions per second) and very low latency (under 30ms) operations.

* Build up user/audience profiles and deliver highly-accurate audience targeting services in a privacy-friendly way.  Extensive machine learning problems related to probabilistic behavioral targeting, automated audience discovery, retargeting, and clustering analysis.

* Extensive development of fraud detection and prevention systems, including R&D of statistical anomaly detection systems for click fraud detection.

* Maintain knowledge and standards of the regulatory environment for data privacy and security in US and European markets.  Participate in the development of the Mobile Marketing Association's European Union Privacy Committee.

* Work closely with PR and Marketing/Communications departments in order to deliver expert columns and interviews to various media outlets.  Develop internal and external communication materials to help non-technical stakeholders understand highly-technical topics.
Berlin, Germany
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VP Research and Chief Data Scientist
Drake Compliance
* Reduced back-office overhead by designing and overseeing development of new products to manage compliance functions for investment companies and advisers in the $5M to $4.5B range. Features included custom report builders, personal securities transaction tracking, prohibited ticker tracking, advisor/access person trade matching, and trade pre-clearance requests. Also designed functionality for transparency and data exporting in order to improve integration with federal securities regulatory agencies.

* Designed and managed internal infrastructure including VoIP system, servers, business continuity and disaster recovery infrastructure, and internally-developed document imaging solutions.

* Designed policies and procedures for mutual funds and investment advisers that satisfied tight regulatory requirements but also maximised the freedom of the executive group.

* Led the executive team and senior operational staff in periodic mock-audits ensure compliance with written policies and procedures and prepare for examinations by federal regulatory agencies.

* Gathered and analyzed a variety of data including forensic transaction analysis for high-frequency trading activities and fraud detection.  This data was transformed into products and delivered in easily-understandable reports to boards, executive teams, and federal regulatory agencies (Securities and Exchange Commission).

* Assisted mutual fund companies and investment advisers in developing highly-customized business continuity and disaster recovery strategies which included strict regulatory requirements and oversight.
The Woodlands, Texas
Chief Information Officer
Citco-Quaker Fund Services
* Leadership responsibility for strategic planning, project methodology and budgeting.

* Designed web application using Microsoft SQL databases and IIS to deliver real time account data for mutual fund clients.  A very progressive product offering at the time.

* Pioneered the setup and configuration of custom remote access and system monitoring which significantly reduced operating costs while simultaneously enhancing access by clients and third parties. This system is now in use by many major mutual fund service providers.

* Designed network, operating system, and infrastructure standards.

* Designed and implemented business continuity and disaster recovery plans.

* Led the design, installation, implementation, and testing of network and disaster recovery system.

* Enhanced telecommunications technology through customized programming on CotS hardware.

* Functioned as IT department liaison on all new business development initiatives, supporting company as it grew from a zero base to over $750 million in assets under management.
Valley Forge, Pennsylvania
Director of Information Technology
Self-Employed
* Designed backup strategies and led successful data migration to support the relocation of Anadarko Petroleum from Ft. Worth to Houston, Texas. Developed documentation, data transfer/backup procedures and strategies for relocation. Managed consulting team that handled data migration and relocation processes.

* Led process-re-engineering initiatives for an auto parts manufacturing company. Designed an e- commerce website to purchase products on-line. Introduced bar code and automated shipping technology that significantly reduced operating costs while improving sales volume.

* Developed and implemented a network infrastructure, security, and backup systems to support a local law firm.
IT Consultant
Master's Degree
Applied Mathematics
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University of Houston
https://www.linkedin.com/school/university-of-houston/
Bachelor's Degree
Applied Mathematics
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University of Houston-Downtown
https://www.linkedin.com/school/university-of-houston-downtown/
NumFOCUS is a 501(c)(3) nonprofit that supports and promotes world-class, innovative, open source scientific software.

The mission of NumFOCUS is to promote sustainable high-level programming languages, open code development, and reproducible scientific research. We accomplish this mission through our educational programs and events as well as through fiscal sponsorship of open source data science projects. We aim to increase collaboration and communication within the scientific computing community.
NumFOCUS
Lifetime Member
The International Society of Chief Data Officers (ISCDO) is the professional society of individuals who serve the role of the Chief Data Officers (CDOs) for their organizations. Chartered in the State of Massachusetts, United States of America, as a not-for-profit organization in 2015, the Society is affiliated with the MIT Chief Data Officer and Information Quality Program and the MIT Sloan School of Management, with the guidance of the ISCDO Board of Advisors. ISCDO serves as a vendor-neutral, peer-advisory resource for all members, as a society of CDOs, by CDOs, for CDOs.
International Society of Chief Data Officers
Founding Member
IEEE and its members inspire a global community to innovate for a better tomorrow through its more than 423,000 members in over 160 countries, and its highly cited publications, conferences, technology standards, and professional and educational activities. IEEE is the trusted “voice” for engineering, computing, and technology information around the globe.

Fewer than 10% of the over 400,000 IEEE members in more than 160 countries have achieved Senior grade.
IEEE
Senior Member
As one of the panelists at the inaugural PyData event in Berlin, we discussed topics related to Data Science in Europe, how companies change after starting Data Science activities, and challenges in the Data Science ecosystem.
The Challenges and Frontiers of Data Science in Europe (video)
PyData
http://pyvideo.org/video/3055/panel-the-challenges-and-frontiers-of-data-scien
This is the first article in a series of articles aimed at highlighting best practices to overcome the challenges in implementing Big Data initiatives and full data-driven company transformations. We will focus on real world examples and ask industry practitioners from both the business, technical and analytical side to share their experience and advice throughout the series.

To start off we asked Adam Drake, Chief Data Scientist and Director of Engineering at Zanox , to give us his view on the current issues in implementing strategies to handle ‘Big Data’ and why corporations keep failing at it.
Three Reasons Corporations Fail at Big Data
Dataconomy
http://dataconomy.com/3-reasons-corporations-fail-at-big-data/
A simple graph G is a graceful graph if there exists a graceful labeling of the vertices of G. If we cannot gracefully label the vertices of G, then G is a non-graceful graph. A result by Rosa provides a suﬃcient condition for a graph to be non-graceful: “If a graph G is simple, even, and has e edges, with e congruent to 1 or 2 (mod 4), then G is not graceful.” This condition implies an inﬁnite subclass of non-graceful graphs, which we deﬁne to be R. By the degree-sum formula for graphs, the sum of the degrees of a graph G is equal to 2e.  We systematically enumerate graphs in R by ﬁrst generating all even partitions of 2e (where e is congruent to 1 or 2 (mod 4)) using Maple. We then use the Havel-Hakimi procedure implemented in Ruby to determine which of these generated partitions are graphic sequences. These graphic sequences determine all of the simple, even, graphs in R (both connected and disconnected) with e congruent to 1 or 2 (mod 4) edges.
On the Enumeration of a Class of Non-Graceful Graphs
Congressus Numerantium
http://aadrake.com/static/static/adtar_final.pdf
Science and Technology
PyData Singapore
PyData is a gathering of users and developers of data analysis tools in Python. The goals are to provide Python enthusiasts a place to share ideas and learn from each other about how best to apply our language and tools to ever-evolving challenges in the vast realm of data management, processing, analytics, and visualization.

We aim to be an accessible, community-driven group, with tutorials for novices, advanced topical workshops for practitioners, and opportunities for package developers and users to meet in person.

A major goal of the group is to provide a venue for users across all the various domains of data analysis to share their experiences and their techniques, as well as highlight the triumphs and potential pitfalls of using Python for certain kinds of problems.
Organizer
Science and Technology
I-COM Global
https://www.linkedin.com/company/i-com-global
The preliminary objective of the I-COM Chief Data Officer Council is to share best practices and identify initiatives that could collectively improve the industry.

As a Global Trade body of the Marketing Data community, I-COM has been working since eleven years to improve the standing & recognition of its members at Board level of their respective companies. In many organisations, the Chief Data Officer is the most senior representative of their Marketing Data staff, as a group they represent the potential to provide leadership for the entire Data community.
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Board Member (Chief Data Officer Council)
Science and Technology
I-COM Global
The goals of the Data Science Board are to demonstrate the value and business impact of Data Science, discuss key industry issues and challenges, and to address challenges in education and hiring of talented Data Scientists.
Board Member (Data Science)
I-COM Global
https://www.linkedin.com/company/i-com-global
The I-COM Singapore Advisory Board was created in January 2015 to bring together a select group of the I-COM community to explore the following:
- the specific issues / dynamics of Singapore market 
- building a delegation from Singapore to the I-COM Global Summits 
- exploring the possibility to hold an I-COM Roundtable in Singapore
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Board Member (Singapore Advisory Board)
Science and Technology
Berlin Machine Learning Group
This group is an informal meeting for academics, professionals, and hobbyists interested in applications and latest developments in Machine learning. We address topics like text mining, computer vision, and speech recognition, in addition to discussing new research papers, applications of machine learning, and software and tools.
Organizer
Science and Technology
Berlin Haskell Users Group
The Berlin Haskell Users Group is one of the largest in Europe, and we regularly hold meetings featuring talks on things relevant to the functional programming and Haskell communities. Example topics are things like Functional Reactive Programming (FRP), high-performance functional data processing systems, tools, techniques, and best practices.
Organizer
Science and Technology
PyData Berlin
A group for Python enthusiasts to share ideas and learn from each other about how best to apply the Python language and tools to ever-evolving challenges in the vast realm of data management, processing, analytics, and visualization. Talks featured topics like Pandas, Scikit-Learn, and large-scale data processing with Python and Spark.
Organizer
Science and Technology
Data Science Retreat
Data Science Retreat is a three-month immersive program which brings highly-qualified people to Berlin in order to provide them with a fast introduction to the knowledge they need to become successful data scientists.  The program includes a curriculum covering computer science and machine learning, mathematics, and communication and presentation skills.  The results after two batches are 100% of participants getting multiple interviews out of DSR, with 60% of participants receiving multiple job offers, and 86% of participants getting the job they wanted as a result of the program.
Mentor
Ocean Protocol
https://www.linkedin.com/company/ocean-protocol
Ocean Protocol is an ecosystem for sharing data and services. It provides a tokenized service layer that exposes data, storage, compute and algorithms for consumption with a set of deterministic proofs on availability and integrity that serve as verifiable service agreements. There is staking on services to signal quality, reputation and ward against Sybil Attacks.

Ocean Protocol helps to unlock data, particularly for AI. It is designed for scale and uses blockchain technology that allows data to be shared and sold in a safe, secure and transparent manner.
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Advisor
Pierre Christoph Poyault
      
          



            
              
        
              
  

    
        I worked with Adam as Chief Data Scientist and Director Engineering at zanox.
Adam is a highly appreciated leader with great principles, a pragmatic mindset, and an empowering attitude. He had a significant influence that zanox achieved to reduce its technical debt.
Adam is collaborative, highly responsive and always approachable. I enjoyed his capability to listen attentively, and transfer decisions quickly into action. His way of working is highly effective and provides a lot of clarity in unclear conditions.
He was always available to support engineers in getting things done with least effort. He provided an environment where engineers could focus on building the most valuable and sustainable solutions. I highly recommend working with Adam. Nora Peterson
      
          



            
              
        
              
  

    
        I met Adam at a Big Data conference in Singapore where he presented on several panels. He is an extremely accomplished public speaker and has the ability to connect with the audience in a relatable, authentic manner which had the audience sitting on the edge of their seats. Subsequently, he presented at an event I hosted around 'Innovation and Entrepreneurship' at Aon's Global Innovation Center headquarters. He was a hit at the event and this was evident in the line of people waiting to talk to him at the end. 

Adam has also advised me on organizational structure and technology talent management topics. He synthesized the challenges Aon was facing into clear roadmaps and provided several recommendations for a way forward. I am very impressed with his big picture vision and out of box thinking. I look forward to working with Adam again in the near future.
Shared by Adam D.
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Right now, the United States is facing a critical time. Government agencies are seeing their systems and staff stretched to the limit as they do…
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Excellent evening!
Shared by Adam D.
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Check out the great work being done at the United States Marine Corps on technology modernization, data, AI, IOT, and more: https://lnkd.in/gJeMypK
https://www.linkedin.com/in/lad123
Austin, TX
Adam D 😎🤜🏽💥
Hook, Story, Offer | Adam De Leon Agency | Website Copwriter | I help turn websites into funnels to increase sales @ATXingCopywriter
https://uk.linkedin.com/in/adam-d-425559203
Romford
Adam D.
Founder at Freeze Frame
https://www.linkedin.com/in/adamdly
San Jose, CA
Adam Ly
Sr. Contingent Workforce at Nutanix
https://www.linkedin.com/in/adcoffey
Dallas-Fort Worth Metroplex
Dr. Adam D. Coffey
Adam D. Coffey, Ph.D.
https://za.linkedin.com/in/adam-d-46939295
City of Johannesburg
Adam D
Customer Relationship Specialist at Luno