Christopher Karvetski

Christopher Karvetski

Charlotte, United States
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Christopher Karvetski

Christopher Karvetski

Charlotte, United States
Member since June 22, 2016
Dr. Karvetski has ten years of experience as a data and decision scientist. He has worked across academia and industry in a variety of team and client settings, and has been recognized as an excellent communicator. He loves working with teams to conceive and deploy novel data science solutions. He has expertise with R, SQL, MATLAB, SAS, and other platforms for data science.
Christopher is now available for hire
Portfolio
Experience
  • Applied Mathematics, 10 years
  • Data Science, 10 years
  • Optimization, 10 years
  • Statistics, 10 years
  • R, 3 years
  • SAS, 3 years
  • SQL, 3 years
  • Oracle, 3 years
Charlotte, United States
Availability
Part-time
Preferred Environment
OS
The most amazing...
...algorithms I've built include watchlist screening algorithms for a major US financial institution in order to flag illicit customers and transactions.
Employment
  • Data Scientist
    Joonko
    2016 - 2016
    • Built behavioral models in R to detect gender biases in the workforce, including sentiment modeling and Bayesian network modeling.
    • Validated behavioral models on multiple datasets.
    • Developed SQL codes to extract data sets from a data warehouse.
    • Built data visualization in R of key dataset features.
    • Refined key insights into documentation for stakeholder presentations.
    Technologies: R, SQL
  • Quantitative Analyst
    Bank of America
    2013 - 2016
    • Built and optimized SAS models to detect and mitigate money laundering and other financial crimes, in charge of every step including risk identification, data sourcing, modeling and coding, user-acceptance testing, deployment, and post-implementation testing.
    • Developed and optimized rule-based watchlist screening algorithms within an Oracle tool to catch terrorists, cartel leaders, and other bad actors.
    • Built SQL reporting for senior leadership to track operational and compliance risk measures.
    • Used linear programming within R and SAS to optimize existing technology solutions.
    • Served as liaison between qualitative risk managers and quantitative data-driven processes and technology stakeholders.
    • Recognized as an excellent communicator, and received top recognition across teams.
    Technologies: SAS, R, SQL, Oracle
  • Post-doctoral Fellow
    George Mason University
    2011 - 2013
    • Developed and tested new prediction and crowd-sourcing methods to aggregate the judgment across diverse set of users to support geopolitical forecasting for the US intelligence community.
    • Used open source Bayesian network software to develop aggregate uncertainty assessments of multiple intelligence analysts.
    • Competed in two-year forecasting competition as a member of a team of scientists and engineers.
    • Performed data reporting and data reconciliation processes to support project principle investigators.
    • Presented at academic conferences and published peer-reviewed academic papers.
    Technologies: R, Matlab
  • Graduate Research Assistant
    University of Virginia
    2008 - 2011
    • Developed models to support decision-making within the US Department of Defense for energy security at US-based installations.
    • Built statistical models to predict extreme weather events.
    • Developed risk assessments of infrastructure investment in developing countries.
    • Presented at academic conferences and published peer-reviewed academic papers.
    • Mentored undergraduate engineering students.
    • Awarded the highest recognition within the department.
    Technologies: R, Matlab
Experience
  • Published Work (Other amazing things)
    https://scholar.google.com/citations?user=0IPpA5kAAAAJ&hl=en

    A link to my published work, which highlights new statistical prediction models as well as other topics in data and decision sciences. Overall, I'm very proud of my ability to work and communicate across many diverse teams, alway ensuring a successful on-time solution or product.

Skills
  • Languages
    SAS, R, SQL, MATLAB
  • Platforms
    iOS, Oracle
  • Misc
    Data Science, Statistics, Optimization, Applied Mathematics
  • Libraries/APIs
    API
Education
  • PhD in Systems Engineering
    University of Virginia - Charlottesville, VA
    2008 - 2011
  • Master of Science degree in Mathematical Sciences
    Clemson University - Clemson, SC
    2006 - 2008
  • Bachelor of Arts degree in Mathematics and Economics
    University of Virginia - Charlottesville, VA
    2001 - 2005
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