Benjamin Boor Email & Phone Number

Philadelphia, PA, US

West Chester, Pennsylvania, US

Greater Boston Area, US

building sufficiently advanced technology

Minneapolis, Minnesota, US

• Leadership
• Served as Lost senior data science SME in data science center of excellence
• Directly advised and unblocked other data scientists
• Software architectural design & execution planning with principal software engineer, VP business intelligence, SVP risk, and CTOR & D:
• Publisher-subscriber architecture model performance monitoring system
• Human-in-the-loop only when necessary collections program architecture

Toronto, Ontario, CA

• Leadership:
• Lead team that performed COVID-19 impact assessment for US credit risk models
• Management and annual model review of large number models across retail card service portfolioR & D:
• Stacked ensemble classifier for credit collections
• Nordstrom credit card collections program decision system re-architecture
• Analysis of alternative VaR metrics for Nordstrom collections program re-architecture

London, GB

As a member of the Advanced Analytics group within the BCUS Decision Science division I act as a machine learning expert and provide internal consulting services to other analytic/business divisions. I deliver cutting-edge analytic solutions written in R, Scala & Python.

London, GB

As a member of the Advanced Analytics group within BCUS Strategic Analytics I act as a machine learning expert and provide internal consulting services to other analytic/business divisions. I deliver cutting-edge analytic solutions written in R, Scala & Python.

New York, NY, US

• As a member of Cadent Technologies research engineering and data science group I had the pleasure of collaborating with analytics engineers, data engineers, the director of data science, VP of strategic technology and.
• Performed secondary research and began implementation of a model agnostic framework for the validation and verification of time valued supervised machine learning systems
• Converted machine learning pipelines written in Spark Scala to PySpark. This code was demonstrated in a 2017 Spark Summit talk titled ’Data Science Deep Dive: Spark ML with High Dimensional Labels ’
• Designed, performed and documented the results of an experiment on the impact of different bias estimation methods on a business critical predictive system
• Developed and wrote a testing suite for a machine learning microservice in python

New York, NY, US

• Built and engineered features for a multivariate additive regression spline model.
• Implemented GARCH, ARIMA, SES and HTS models and an accompanying set of time series error metrics describing the performance of each model in a shiny MVC dashboard.
• Built ad hoc regression models at the request of Cadent's Business Intelligence team.
• Built ad hoc shiny MVC dashboards to provide insight into the Data Science process to management.
• Developed a distance metric learning algorithm which employed frequency domain representations of time series data, cross bin histogram and information theoretic distance metrics and factor analysis. The algorithm was.
• Performed secondary research on time series and histogram distance metrics and implemented them in R.

Juno Beach, Florida, US

I used the OPUS Suite of modeling, simulation and optimization tools to support the systems engineering process. I also developed a sensitivity analysis extension to and various visualizations to compliment the OPUS Suite using R.

Master'S Degree, Robotics Software Engineering

Bachelor Of Arts (B.A.), Biology, General