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Jeff Keller
 * Home
 * About
 * Skills
 * Experience
 * Projects
 * Recent Posts
 * Achievements
   
 * Posts


HI, I'M JEFF

I am a ModelOps exp|
 * I live in Vermont
 * I am a Data Scientist
 * I use R and Python
 * I am a ModelOps expert
 * I love building computers
 * I play tabletop games!


JEFF KELLER

LEAD DATA SCIENTIST AT E INC.

Experienced Data Scientist with strong statistics, technology, and consulting
skills. Adept at conveying complex concepts to audiences of varying technical
abilities. Expert in modern “full-stack” statistics, relevant technologies, and
bringing value directly to business applications.

Jeff lives with his lovely wife Valerie in Georgia, Vermont, where they have
resided since 2017.

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My resume
Fast Learner
Critical Thinker
Collaborator
Communicator
Leadership
Creativity


SKILLS

R (LANGUAGE)

Primary language for professional model development. Author of multiple Data
Science and database packages.

PYTHON

Secondary language for professional work. Experience interfacing with cloud
infrastructure and high-performance machine learning libraries (e.g., PyTorch
and TensorFlow).

PLUMBER APIS

Early adopter of model API micro services bringing Data Science off the
whiteboard and into business applications. Active community member.

HIGH PERFORMANCE COMPUTING

Long history of profiling and optimizing Data Science code for high performance
multi-threaded applications. Knowledge of GPU computing frameworks such as
OpenGL, CUDA, TensorFlow, and ArrayFire.

GIT

Experience with collaborative git-based development and related development
platforms such as GitHub and GitLab. Familiar with open source community
management.

LINUX

Operating system of choice at home and work. Strong believer in the power and
legacy of free(dom) software.

AMAZON WEB SERVICES

Primary cloud provider for hosting compute environments and deploying Data
Science products. Proponent of Infrastructure-as-Code.

DOCKER

Primary containerization software used for reproducible cloud-based model
deployments. Experience managing image repositories (e.g., AWS ECR).

KUBERNETES

Capable of deploying and managing applications on Kubernetes. Experience
building and optimizing cluster configurations natively and on cloud provider
platforms (e.g., AWS EKS).

POSIT

Extensive experience with Posit’s commercial offerings: RStudio Desktop, Posit
Workbench, Posit Connect, and Posit Package Manager. Experience administrating
commercial product cloud deployments.

C++

Basic C++ programming knowledge for interacting with operating system APIs and
other libraries.

OFFICE SUITE

Understands the utility in non-technical tools for communication and
collaboration. Familiar with VBScript usage and alternatives such as
LibreOffice.


EXPERIENCE

1

PRINCIPAL DATA SCIENTIST

E INC

Aug 2022 - Present, Burlington, VT

E INC is on a mission to create the best digital auction and retailing platform
in the world by connecting the automotive wholesale and retail experiences—two
worlds that have historically been kept apart—together.

RESPONSIBILITIES:

 * Responsible for scaling the company’s Data Science discipline in an AWS cloud
   environment
 * Partnered with Engineering and Infrastructure leadership to establish highly
   reusable patterns for frictionless continual delivery of Data Science
   products
 * Developed a wholesale vehicle recommendation engine to support Product,
   Marketing, and Operations use cases
 * Delivered and enhanced a vehicle pricing engine to support business critical
   financial products
 * Regular advisor to the architecture and implementation of the company’s
   rapidly growing Data Lake and Data Warehouse

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COX AUTOMOTIVE

Sep 2016 - Aug 2022, Burlington, VT

Cox Automotive is an Atlanta-based business unit of Cox Enterprises, formed in
2014 to consolidate all of Cox’s global automotive businesses, including Kelley
Blue Book, Xtime, Autotrader.com, and Manheim.

LEAD DATA SCIENTIST

Jan 2018 - Aug 2022

 * Invented an enterprise hierarchical Bayesian Markov modeling capability for
   marketing attribution, budget optimization, customer intervention, and
   session valuation
 * Developed a joint glmnet + Random Forest model to optimize Search ad
   campaigns
 * Pioneered cloud-first Data Science ModelOps patterns and infrastructure
 * Deployed and administrated Data Science workbench, publishing, and deployment
   platforms and environments
 * Mentored a group of 8 to 12 junior and senior Data Scientists

SENIOR DATA SCIENTIST

Sep 2016 - Dec 2017

 * Designed and productionized an enterprise consumer vehicle recommendation
   engine
 * Built Random Forest models to predict vehicle sales from anonymous website
   activity
 * Led the Data Science organization’s transition into the cloud (AWS)
 * Created R and Python packages to increase productivity of other Data
   Scientists

2

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3

RSG

Jun 2010 - Sep 2016, Burlington, VT

RSG applies unmatched research and analytics to inform clients’ strategy and
planning, helping organizations make critical decisions with confidence.

LEAD ANALYST

Jan 2014 - Sep 2016

 * Designed and implemented novel agent-based economic simulation models for
   government policy and scenario planning use-cases
 * Productionized and integrated embedded machine learning business applications
 * Designed and implemented advanced agent-based micro-, meso-, and macro-scale
   economic simulation models
 * Developed custom data ETL and warehousing tools

SENIOR ANALYST

Jun 2010 - Dec 2013

 * Developed statistical models of consumer purchase behavior for optimizing
   prices and product configurations
 * Designed research experiments to quantify consumer preferences and
   willingness-to-pay
 * Segmented and personified customer audiences using latent class clustering
   techniques


PROJECTS

All Professional R Packages Gaming

LOOT OF LIMA COMPANION APP

Developer Aug 2020 - Present

Companion web app for the treasure hunt-themed deduction tabletop game, Loot of
Lima.

Details

KEYBOARDSIMULATOR

Developer Dec 2018 - Present

A Windows R package for simulating keyboard and mouse inputs.

OPENMFD

Developer Dec 2018 - Present

An in-development FLOSS companion app for space and flight simulator games such
as Star Citizen. Connect a tablet or other device to your PC to create a
Multi-Functional Display (MFD).

Details

SGFD WATER RATES

Developer Aug 2020 - Present

A web application/calculator of the 2021 metered water rate system with tiered
pay scales for the community of 190 households in the South Georgia Fire
District of Vermont.

Details

RSGHB

Maintainer May 2015 - Sep 2016

Functions for estimating models using a Hierarchical Bayesian (HB) framework.
The flexibility comes in allowing the user to specify the likelihood function
directly instead of assuming predetermined model structures.


RECENT POSTS

MANAGING MULTIPLE R INSTALLATIONS ON LINUX

Installing multiple versions of R on the same machine is useful if you want to
take advantage of the latest R features while also maintaining reproducibility
for older projects. But how can you toggle between them?

December 17, 2021 Read

MAGIC MIRROR PART 1: HARDWARE

Winter is normally the time when I start new tech projects since Vermont winters
tend to keep me indoors. Last winter I decided it was time to build myself a
Magic Mirror!

October 24, 2021 Read

WE HAD A BABY!

I never thought this day would come…

July 8, 2021 Read


ACHIEVEMENTS

BEST POSTER ART 2014

BEST POSTER ART 2014

Winner of Best Poster Using R to Expand the Capabilities for Hierarchical
Bayesian Model Estimation at the American Marketing Associations’s 2014 Advanced
Research Techniques Forum.

BEST PAPER TRB

BEST PAPER TRB

Winner of Best Paper for research Using Random Forest Machine Learning to
Predict Driver Behavior in a Dilemma Zone. Presented at the Transportation
Research Board’s 93rd Annual Meeting.

ABJ70 MEMBER (2014-2017)

ABJ70 MEMBER (2014-2017)

Member of the Transportation Research Board of the National Academies Committee
on Artificial Intelligence and Advanced Computing Applications (ABJ70).

BEST POSTER ART 2014

BEST POSTER ART 2014

Winner of Best Poster Using R to Expand the Capabilities for Hierarchical
Bayesian Model Estimation at the American Marketing Associations’s 2014 Advanced
Research Techniques Forum.

BEST PAPER TRB

BEST PAPER TRB

Winner of Best Paper for research Using Random Forest Machine Learning to
Predict Driver Behavior in a Dilemma Zone. Presented at the Transportation
Research Board’s 93rd Annual Meeting.

ABJ70 MEMBER (2014-2017)

ABJ70 MEMBER (2014-2017)

Member of the Transportation Research Board of the National Academies Committee
on Artificial Intelligence and Advanced Computing Applications (ABJ70).

NAVIGATION

 * About
 * Skills
 * Experience
 * Projects
 * Recent Posts
 * Achievements

CONTACT ME:

 * Email: jeff@vtkellers.com
 * Phone: +1 (802) 310-2253

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