Christopher Karvetski, Developer in Charlotte, NC, United States
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Christopher Karvetski

Verified Expert  in Engineering

R Developer

Charlotte, NC, United States
Toptal Member Since
August 24, 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.



Preferred Environment


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.

Work Experience

Data Scientist

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: SQL, R

Quantitative Analyst

2013 - 2016
Bank of America
  • 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: Oracle, SQL, R, SAS

Post-doctoral Fellow

2011 - 2013
George Mason University
  • 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: MATLAB, R

Graduate Research Assistant

2008 - 2011
University of Virginia
  • 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: MATLAB, R

Published Work
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.
2008 - 2011

PhD in Systems Engineering

University of Virginia - Charlottesville, VA

2006 - 2008

Master of Science Degree in Mathematical Sciences

Clemson University - Clemson, SC

2001 - 2005

Bachelor of Arts Degree in Mathematics and Economics

University of Virginia - Charlottesville, VA








iOS, Oracle, MacOS


DevOps, Data Science, App Development


Software Development, Optimization, Statistics, Applied Mathematics, Data Analysis, Data Engineering, Data Modeling, Machine Learning, APIs

Collaboration That Works

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