* Creator of Dstillery's Kubernetes-based cloud-native ML Pipeline * Inventor of novel ML techniques, used to build Dstillery's top-grossing Demographic Audiences * Moderizer of big data stack, introducing Apache Spark and other data engineering

With a broad toolkit including Spark, Hadoop and Python I find new ways to produce insights from big data and refine them into audience targeting and market intelligence products.

Full stack data scientist, intensively involved in ETL, production modeling, visualization and client interaction.- Designed and built end-to-end modeling pipelines against 1bn+ records in R both for general production and secure remote environments- Built several hundred real-time scoring models from multi-gigabyte sparse-featuredatasets, including many where p >> n- Implemented high-performance concurrent ETL system Python, EC2 and S3- Researched novel applications of statistical practice to business problems, including latent class analysis, Bayesian inference- Developed process automation and dashboard applications in Python, R d3.js

Thesis: A Study on Conditional Likelihood Estimation for Survey SamplingBayesian analysis, social networks, hierarchical models, MCMC and sampling methods. Proficiency in R, SAS and WinBUGS, experience with parallel computing.

Mined the campaign’s donor database for insights, discovered trends to identify potential repeat donors and presented recommendations to campaign staff. Further details: http://goo.gl/SDERNa

Generated usable dataset for analysis from personnel and financial records, examined likelihood of “pay for play” promotion practices. Winner of the LA Press Club's "Best Database-Driven Journalism" award. Further details: http://goo.gl/GYvI7R

- Enhanced client relationships by developing a general use JavaScript visualization tool tointuitively display hierarchical datasets http://goo.gl/iO6BcY- Primary research for Medicare Administration /Affordable Care Act contract- Developed new healthcare policy insights through exploration and analysis of a multi-gigabyte dataset, including extensive use of SAS macros and ODS

- Managed multiple project teams including research, initial implementation and ongoing maintenance of core infrastructure- Actively evangelized best-practices standards throughout the organization- Took initiative in streamlining department operations through innovations in practice and technology- Consulted with community members providing education and technical assistance

-Provided hands-on technical support for a community of over 35,000 people including networking, operating system, email and application troubleshooting-Supervised 25 Technical Consultants in providing customer assistance-Handled escalated support for all levels of faculty, administrators and students -Designed, implemented flash drive synchronizer to streamline office operations

We provided technical consulting services to the entirety of Boston University's community of 40,000 faculty, students and staff. We specialized in quickly learning new technologies to support clients in their chosen tools.

-Primary liaison to municipal court, translate needs into technical objectives-Organized, drafted request for proposal for IT solution in new Fortune 500 office