Christopher Karvetski
R Developer
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.
Portfolio
Experience
Optimization - 10 yearsStatistics - 10 yearsApplied Mathematics - 10 yearsData Science - 10 yearsR - 3 yearsSQL - 3 yearsSAS - 3 yearsOracle - 3 yearsLocation
Availability
Preferred Environment
MacOS
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
Joonko
- 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.
Quantitative Analyst
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.
Post-doctoral Fellow
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.
Graduate Research Assistant
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.
Experience
Published Work
https://scholar.google.com/citations?user=0IPpA5kAAAAJ&hl=enSkills
Languages
SAS, SQL, R
Libraries/APIs
TensorFlow
Paradigms
DevOps, Data Science, App Development
Platforms
iOS, Oracle, MacOS
Other
Software Development, Optimization, Statistics, Applied Mathematics, Data Analysis, Data Engineering, Data Modeling, Data Modeling Expert, Machine Learning, APIs
Tools
MATLAB
Education
PhD in Systems Engineering
University of Virginia - Charlottesville, VA
Master of Science Degree in Mathematical Sciences
Clemson University - Clemson, SC
Bachelor of Arts Degree in Mathematics and Economics
University of Virginia - Charlottesville, VA