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About Me

I’m a Data Scientist & Engineer with 5 years of industry experience in financial technology, auto insurance, medical devices, Research & Development, and aerospace manufacturing. I’m an active member of the R programming community and have developed several open source packages, participated in Google Summer of Code, and NASA Datanauts.


I’m searching for a remote-friendly company that values creativity, diversity and openness as a lead or Sr. Data Scientist developing data products & algorithms with R & Python while mentoring junior team members.

More projects available at:


  • Graduate Analytics Certificate at DePaul University, (2015 - 2017)
    • Coursework: Intro to Programming, Data Analytics & Regression, Database Processing for Large-scale Analytics, Advanced Data Analysis, Knowledge Discovery Technologies, Programming Machine Learning Applications
  • BS in Engineering in Biomedical Engineering at University of Hartford, (2008 - 2012)
    • Coursework: Engineering Computer Applications, Calculus (1-2, Multivariable), Differential Equations, Research, Engineering Design, Statics, Dynamics, Mechacnics of Materials, Biomaterials

Data Science Work Experience

  • Data Scientist 2 at Simple Finance, (Oct. 2016 - Present)
    • Lead Data Scientist for the Onboarding product team (Jan. 2017 to Aug. 2017): responsible for technical mentorship, data product strategy, external data integration with APIs and experimentation design and analysis (A/B Testing)
    • Developed an early detection predictive model using feature selection with Gradient Boosted Models to monitor spikes in ACH returns leading to data-informed decisions for mitigating fraud loss and partnered with the risk team
    • Developed a rapid prototype using r-shiny and flexdashboard for performing power analysis
    • Modeled causal impact with Bayesian structural time series techniques for fraud prevention and product feature launches
  • Associate Data Scientist at The Hartford Financial Services, (April 2016 - Oct. 2016)
  • Data Science Intern at The Hartford Financial Services, (Nov. 2015 - March 2016)
    • Research & Implementation of machine learning techniques in variable reduction and selection to develop predictive models for auto insurance that improve loss ratio estimates, drive strategic pricing changes and insights on competitive position
    • Enhancing the team’s data science architecture by developing and maintaining an internal R package, writing technical documentation and tutorials
  • Bioinformatics Internship at the University of Connecticut Institute for Systems Genomics (UConn), (Sept. 2015 - January 2016)
    • Computational and command line programming to develop a gene database for the annotation of the douglas-fir & walnut genome
  • Student Developer at Google Summer of Code, (May 2015 - Aug. 2015)
    • Developed a web application with r-shiny to automate differential expression and survival analysis of micro-array gene expression datasets from the NIH Gene Expression Omnibus

Open Source R Software

  • gramr: Provides grammar checks in RMarkdown documents
  • ttbbeer: Data package of beer statistics from U.S. Department of the Treasury (TTB)
  • shinyLP: Bootstrap components to make landing home pages for shiny web apps
  • shinyGEO: Shiny app for gene expression differential & survival analysis

More R packages and Shiny apps available at:



  • Course Instructor & Developer with DataCamp (Sept. 2017 - Present)
    • Currently under-contract developing a R course titled: ‘Building Big Shiny Apps’
  • Data Science Instructor (Part-time) (Oct. 2017 - Dec. 2017)

Research Publications

  • Stella Bollmann, Dianne Cook, Jasmine Dumas, John Fox, Julie Josse, Oliver Keyes, Carolin Strobl, Heather Turner and Rudolf Debelak. ‘Forwards Column’. The R Journal, Volume 9/2, December 2017. - Paper Link
  • Dumas J, Gargano MA, Dancik GM. shinyGEO: a web-based application for analyzing Gene Expression Omnibus datasets. Bioinformatics. 2016 Aug 8. - Paper link
  • Dumas J,, Feasibility of an electronic stethoscope system for monitoring neonatal bowel sounds. Connecticut Medicine, Volume 77, Number 8, pp. 467-471, September 2013. - Paper link

Technical Skills [Keywords]

  • Computational programming & machine learning with R and Python
  • Statistical Analysis and inference
  • Data processing & querying with SQL
  • Web application development with Shiny and Bootstrap
  • Collaborative computing with GitHub and Git