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  • Home
  • About
  • AI/ML Framework
  • Advisors
  • Contact
  • Merit2Work
  • STEM++Inno
We are a data-driven team applying experience and expertise to forge data into usable knowledge.   
​Our team approach to Data Science adds capabilities that lone genius cannot and reduces key person risk. 
​We believe a diverse team provides broader insight and creativity resulting in culturally deeper and more balanced outcomes.
​We believe we can do well while doing good and have a responsibility as global citizens to use technology for benefit.  
​We look forward to partnering with like-minded firms.


C3 Alliance was founded in 2009 with a mission to develop long-lasting relationship based consulting and data-driven development.

The founder has been developing data-driven technology since the late 1990s during the AI Winter with development of a software/database solution that provided a rules driven classification model for use on relational structured databases (RDBMSs).  In the mid-2010s merged Intellectual Property (IP) with Data Science company that created a Data Science Boot Camp whose initial class placed in top 5% of Kaggle.com competition.  


Developed AI/ML/DS framework (ADEPT) to emphasize the five (5) main pillars of Artificial Intelligence, Machine Learning and Data Science:
·       Algorithms – Supervised/Unsupervised, training and inference, relevant models
·       Data – identification, wrangling, management
·       Environment – sustainable and extendable platforms
·       Presentation – Visualization and Analytics for actionable information
·       Technology – fit best tool to the task
 
AI/ML/DS Training (Planned 1st Qtr 2018)
Producing twenty (20+) session Artificial Intelligence, Machine Learning and Data Science training program.  In pre-production phase to edit, produce and license via LMS (Learning Management System) and to provide technical training to firm offering coaching programs, educational content and internships to recently graduated college students.

​AI/ML/DS for Good (Planned 2018)
​Developing an Award/Challenge to find and highlight organizations, people and projects where AI/ML/DS is being used for Social Good.  If you would like to submit candidate projects or be considered as a judge, sponsor, volunteer please provide your information and purpose on the contact form.  More to come...


Management Team and Advisors
Alan White, Founder/Data Enthusiast
​A career data enthusiast and data science architect from practically when data science was performed using stone chisel and is currently engaging the youngest bright minds while mentoring on the benefits and techniques of effective, repeatable, scalable project execution.  In addition, Alan has extensive experience in developing systems within regulated environments.  

o   Alan is an advisor of a Data Science Firm; DataSeer and a Navigable Video Software Provider; Smartzer.  Alan has also founded three technologies focused on supplying information technology to marketplace gaps; addressing Deep Web Technology for Real Estate (2005), Data Profiling, Models and Classification (1999), and an Online Bookstore (1994).

Steven Ginzberg, Data Scientist
An experienced data scientist and data engineer, entrepreneur, business manager, software developer, with extensive experience in financial services; successfully enhancing operations while improving processes. Industry experience includes private investment, equity, fixed income and securitized portfolios. Company lifecycle experience ranges from start-up through publicly regulated environments.  Excellent communication, project management, data management, analysis, software development and finance skills.   Steven has developed proprietary software utilizing excel to support complex models primarily in the financial industry. 

Richard McCarty, VP of Business Development
A career business development expert who forges deep and lasting relationships to benefit the firm and partners in the journey to execute our client’s most challenging projects.

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We are honored to recognize these valued Advisors:
Heather Lasky, Founder and CEO of ChampAmerica
​Born and raised in Beijing, China, Heather came to the U.S. for graduate school upon completion of college in China.  She started with the Enterprise Risk Services Group at Deloitte, and later moved on to the Finance and Regulatory Risk functions within several investment banks including Goldman Sachs, JP Morgan, and Barclays. She has been a key member of the Finance Recruiting teams and has developed an extensive career network. Heather holds an MBA from Georgetown University. She is a professionally trained French Chef from the International Culinary Center (ICC) in New York and is passionate about fitness and travel.


Bernard O. - Data Science and Machine Learning champion and evangelist
• Part-time instructor at NYC Data Science Academy
• Certified Data Scientist involved in data strategy and hands on expertise on machine learning, big data, advanced statistics and analytics, development, and visualization.
• Ranked #1 in the Kaggle Consumer Credit Default challenge (closed competition) to accurately predict probability of consumer going into financial distress after 2 years.
• Ranked Top 2% in the Kaggle Higgs Boson challenge (closed competition) leading a team of Data Scientists through the implementation of advanced Python machine learning model ensembles, stacking, and feature engineering demonstrating high accuracy rates in predictive analytics
• Expertise in modeling/machine learning platforms using R and Python
• Classification methods (Neural Net, Logistic Regression, Decision Trees, KNN, SVM, Random Forest)
• Regression methods (Linear, Nonlinear, Boosted Regression Trees )
• Clustering methods (K-means, Fuzzy C-means, Hierarchical Clustering, Mixture Modelling)

Yassine B., PH.D. - ​ Natural Language Processing and Deep Learning Expert
• Adjunct Professor of NLP at GWU
• Ph.D. in AI with special focus on NLP
• Active researcher and reviewer in the most prestigious NLP conferences/journals
• More than 12 years of experience in the field
• Worked with renowned research teams in IBM T.J. Watson, Philips Research North America and Thomson Reuters.
• Researched and developed NLP frameworks in the military, clinical, legal, financial and market research domains
• Expertise in training, testing and deploying Deep Learning models for real world applications
• Experience managing a team of data scientists and managing large projects from idea to a running pipeline
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