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Patrick Hofmann is listed as Manager of Data Science at Magnite, based in Westminster, Colorado, United States. AeroLeads shows a work email signal at magnite.com and a matched LinkedIn profile for Patrick Hofmann.
Patrick Hofmann previously worked as Data Science Manager at Magnite and Staff Data Scientist, Team Lead at Spotx (Now Part Of Magnite). Patrick Hofmann holds Nanodegree, Machine Learning Engineer from Udacity.
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After many years as an individual contributor, I now enjoy a mixture of leading a team as well as staying hands-on in technical work of my own. I enjoy learning new modeling techniques as well as implementing models into production. The path to production can often be the most difficult part, but building the full pipeline ensures that it can actually bring value to the business. Lately I've been interested in taking models built in AWS and implementing them on-premise in business applications.Skills: PySpark, SageMaker, EMR, Scikit-learn, PyTorch, SQL, Druid
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I continue to lead a team of data scientists based in both the US as well as the UK. Our 3 primary project areas are: * Traffic filtering/shaping - predictive modeling (GLMs, RFs, Naive-Bayes)* Audience and identity - device graphs, behavior, repeatability, etc* Pricing - optimized auction timing, intelligent price floors, etc* Infrastructure - building.
Denver, CO, US
I'm currently on an International Rotation in Belfast, integrating with engineering teams and building and leading a UK data science team both here and in London. In addition to this, my modelling work continues to center around infrastructure and revenue optimization. My focus at present is building ML/DL models in the cloud utilizing our AWS tech stack.
Denver, CO, US
When receiving many billions of advertisement requests per day, my primary work involves optimizing resources for our spot market based upon unique signatures in revenue generating ad calls versus those that do not result in revenue. This involves a variety of statistical approaches to first classify inventory, determine key features in the data, and also.
L-2163 Luxembourg, LU
My work required accurately predicting housing rental prices and property values using hedonic pricing models. This process requires careful weighting and spatial filtering to create dyadic subject-comparable observations across housing areas.
The Woodlands, TX, US
My tasks involved uncovering key production performance drivers, variable interactions and how we can optimize well production through the use of General Linear Modeling and Machine Learning algorithms. Most of this work was carried out programmatically in R, along with SAS-JMP. As the lead modeler in Completions, I would statistically explore the.
Washington, DC, US
I created a model verification system that includes a whole suite of statistical and graphical products, as well as ongoing research in weather model and data assimilation enhancements and improvements.
Washington, DC, US
My work involved creation and analyses of climate model metric diagnostics, and modeling effects of including cloud variable observations in a data assimilation/climate model system.
Highlands Ranch, CO, US
Created a portfolio optimizer using two distinct methods: Markowitz Mean-Variance optimization and generalized optimization using simulated annealing.
Boulder, Colorado, US
Fall 2004: Calculus ISpring 2005: Differential EquationsInstructed bi-weekly recitations; responsible for lecturing, grading, and tutoring.
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Patrick Hofmann works for Magnite.
Patrick Hofmann is listed as Manager of Data Science at Magnite.
AeroLeads has found 1 work email signal at @magnite.com for Patrick Hofmann at Magnite.
Patrick Hofmann is based in Westminster, Colorado, United States while working with Magnite.
Patrick Hofmann has worked for Magnite, Spotx (Now Part Of Magnite), Altisource, Anadarko Petroleum Corporation, and Noaa - Global Systems Division/Assimilation And Modeling Branch.
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Patrick Hofmann holds Nanodegree, Machine Learning Engineer from Udacity.
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