• Data Engineering

    Acquire.  Analyze.  Transform.  Integrate.

  • Predictive Modeling

    Reduce.  Model.  Test.  Validate.

  • Visualization

    Organize.  Scale.  Graph.  Present.

  • Deployment

    Reapply.  Predict.  Decide.  Evaluate.

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Who is Emiurgic Analytics?

Emiurgic Analytics LLC (pronounced E-mer-jik) is a Washington, DC-based small business that provides Data Analytics Systems Engineering support for the Department of Defense, Federal Government, and Commercial Industry. We have expertise in Data Engineering, Predictive Modeling, and Business Intelligence and Decision Support Systems Development and Deployment.

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 Core Team

 

Brad Macomber - Program/Project Manager/Analyst - Background in leading data engineering and business intelligence teams.  Brad most recently was a Manager of Business Analysis at Sprint, directing analysts responsible for data warehouses, web report automation, and executive decision support.  Previously he was a director for product development at NTT-Verio and Concentric Network.  He holds a BA from Georgetown University and an MBA from the University of Virginia.  He also holds a Graduate Certificate in Predictive Analytics from the University of Maryland University College and is a certified Project Management Professional (PMP).

 

 

Darron Fuller - Data Analytics Software Engineer/Computer Scientist - Background in the development of large-scale ERP and Business Intelligence systems with 25 years experience in software and systems development.  Darron has consulted to Fortune 500 companies and Federal, DoD, and Intelligence Community government agencies and has participated as a Technical Witness in cases of litigation over highly technical matters.  He has technical expertise in the application of a variety of predictive, data mining, and text mining methods.  Darron holds a BSc., Computer Science from the University of Maryland at College Park, a Graduate Certificate in Predictive Analytics from the University of California at Irvine, and is currently a MSc. Candidate in Data Analytics Engineering/Predictive Analytics at Volgenau School of Engineering at George Mason University.

 

 

Raman Bakshi - Software Engineer/Computer Scientist - Background in analytics and web-scale architectures and 20 years software engineering experience.  Raman founded a startup that pioneered in-memory big data technology back in the late 90's which Microsoft acquired and integrated into their SQL Server suite as SQL Server Analysis Services (SSAS).  Raman has since worked for major corporations such as Microsoft, Oracle, IBM, and CoStar creating web-scale information systems capable of performing analytics on large volumes of high-velocity data.  Darron met Raman when he hired Raman as a high-school intern in the early 90's just before Raman obtained his BSc., Computer Science from the University of Maryland at College Park.

 

 

Dallam Masterson - Data Scientist/Statistician - Background in Data Analysis and Statistical Inference, Data Science, Predictive Modeling and Operations Research.  Dallam has worked as a Data Scientist/Computational Statistician for startup Pegged Software as well as boutique analytics firm Merkle and as an actuary at AEGON Americas.  He has technical expertise in Bayesian Statistics, Survival Analysis, Probabilistic Graphical Models, Decision Trees / Random Forests / Boosted Trees, Neural Networks, Support Vector Machines, PCA / Factor Analysis, Text Mining and has completed all preliminary actuarial exams: P, FM, MFE, MLC, and C.  Dallam has his MSc., Statistics from Rice University and obtained his BSc., Operations Research and Information Engineering from Cornell University.