Dale Struble, PhD
Building Science, Engineering, and Analytic Teams at one of the World's Biggest Companies
Updated 8 months ago
30+
Years Experience
10
Roles
30
Skills
3
Education
About
I love tackling challenging mathematical problems and bringing solutions to life. This has led me from Black Box Modeling, Risk Analysis, and Portfolio Optimization in finance to developing and deploying new innovative techniques in ML modeling at scale in eCommerce. For example developing online recommender systems for product recommendation with constraints, or utilizing evolutionary NN's to deploy models globally (20+ countries) at scale which also solves the cold start problem. Along the way I’ve developed models as a sr. scientist, had multiple publications and patents, and have gone on to grow and lead a large team of scientists and engineers overseeing a portfolio of hundreds of ML models making recommendations for 400MM+ customers daily (worldwide) leveraging AWS technologies. This has helped me find some of my passions and key strengths, growing others, strategizing with business leadership on how to leverage ML, and continually learning new advances in the state of the art.
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Experience (10 roles)
Full-time · 9 yrs 3 mos
Current4 roles · May 2016 - Present
Head of Worldwide Defect Elimination SciTech (Sci, Econ, Analytics, Engineering)
CurrentOur vision is to ensure every piece of customer feedback post-contact (3+ Billion) is addressed, routed, and resolved. We employ cutting edge NLP, Classification, Topic modeling, and Counterfactual estimation to identify issues and root causes, enable our business partners to investigate and resolv...
Head of Global Machine Learning, Amazon Prime
Built and led the Prime Machine Learning Team (Applied Scientists, Researchers, and Engineers) developing mathematical models and Data/ML pipelines at scale for personalization and optimization within Amazon Prime in over 20 countries. Our recommendation systems power which plans to show customers (...
Manager of Prime Machine Learning, Amazon Prime
Skills: Team Building · Leadership · Coaching · Applied Sciences
Sr. Applied Scientist (Prime / Prime Now)
As a Sr. Applied Scientist I've led the scientific vision for the Prime Decision Sciences Team and the PrimeNow teams (includes Machine Learning, Business Intelligence, and Data Engineering). This involved translating business requests from stakeholders, developing modeling solutions, and implementi...
Tech Lead / Sr. Data Scientist
As the tech lead I owned and built multiple ML models and consulted on all modeling projects the Data Science Team worked on. Some of the models I personally built included a SPAM detector for incoming phone calls, a model measuring conversation sentiment (pos/neg) fro transcripts, propensity models...
Data Scientist
Built automated solutions for treatment effect estiamtion to value benefit usage by customers. The results of these models helped guide $100M+ of budgetary spending on streaming content. This solution was then extended to a generalized framework implementing the state of the art in treatment effect ...
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Education (3)
Syracuse University
2004 - 2007
Activities and societies: Mathematics Graduate Organization committee member 2005, 2006. NASA GSRP recipient 2004-2007. Analysis and Numerical Analysis colloquium speaker. Title: "Wavelets Adapted to Compacted Domains and Multiscale Reproducing Kernel Hilbert Spaces". Details: Constructed wavelets adapted to compact fractal (self similar) domains in multiple dimensions with an emphasis on simplexes in Rn. Practical implementation issues are addressed and decomposition / reconstruction algorithms are developed. The application of the theory to modeling flutter (a highly nonlinear aeroelastic system) in high speed high performance aircraft is depicted. As a secondary application, the theory is extended to modeling on triangulated manifolds and in multiscale reproducing kernels (used in machine learning) The resulting kernels have desirable optimization properties, compact support, and a multiscale tuning capability.
Syracuse University
2001 - 2004
Monmouth University
1996 - 2001
Activities and societies: Enrolled in Honor's Program. Honors Thesis: Demonstrated the use of Propositional Calculus in proofs from Set Theory and Topology. Major GPA: 3.93
Skills (30)
Certifications (5)▼
Probabilistic Graphical Models
Coursera
Neural Networks and Deep Learning
Coursera
Structuring Machine Learning Projects
Coursera
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
Convolutional Neural Networks
Coursera
Publications (4)▼
Wavelets Adapted to Compact Domains in Multiscale Reproducing Kernel Hilbert Spaces
Applied Mathematical Sciences
The Construction of Wavelets Adapted to Compact Domains
Advances in Computational Mathematics, Online First™, 14 December 2011. · Dec 14, 2011
LORE: a large-scale offer recommendation engine with eligibility and capacity constraints
Proceeding RecSys '19 Proceedings of the 13th ACM Conference on Recommender Systems · Sep 16, 2019
BLIP Parameter Updating for Online Learning
Amazon - Internal Publication · Nov 20, 2017
Languages (3)▼
Volunteer Experience (1)▼
Volunteer
AmeriCares
Jan 2005 - Jan 2009 · 4 yrs
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