Alex Carr Email & Phone Number

Chicago, Illinois, United States

Ottawa, ON, CA

• Manage a large team of machine learning engineers responsible for machine learning models related to stopping merchant-side fraud and counterparty risk on the Shopify platform and responsible for KPIs related to losses.
• I also manage a manager of a rapid response team of analysts for risk detection and rule creation. I have tutored them to improve their data engineering skills and deployment processes and enhance their career.
• Pushed the boundaries of fraud detection at Shopify by deploying the first real-time fraud detection models to catch fraudsters faster before they can do harm. These models gatekeep numerous products across Shopify.
• I helped pioneer a nexus of real-time risk signals across Shopify that helps disparate products grab the latest knowledge about merchants and then manage their own risk. My team contributes the foremost Trust Score in.
• Architect of our approach to counterparty risk mitigation on Shopify Payments including the interplay of machine learning models for loss estimation to recommend and automate payout holds.
• Oversaw projects integrating Large Language Models (LLMs) into our Acceptable Use Policy workflows to screen for violating products and recommend appropriate actions to analysts working cases. This saved considerable.

Chicago, Illinois, US

I oversee work across most of logistics including: timing estimation, courier pay, delivery dispatch, experimentation and restaurant fulfillment as well as contributing to improving the tooling and infrastructure for machine learning at Grubhub.I am responsible for most of the KPIs in logistics as they depend extensively on my team’s models as well as.

Chicago, Illinois, US

I moved into delivery logistics at Grubhub and combined two existing data science teams under my leadership. This required a deft hand in acclimatizing each half of the team to the other and mentoring members in how to use company data, machine learning infrastructure, and the interplay of logistics systems at Grubhub.I became a subject matter expert in.

Chicago, Illinois, US

• I managed an internal consulting team that serviced multifarious arms of the company, from restaurants to logistics. Met with product managers regularly and extensively to understand their problem space and ascertain.
• A model for parsing restaurant reviews and categorizing insights about how the restaurant was succeeding or failing.
• Automatic detection of couriers trying to defraud Grubhub by pretending to be available for work.
• Implemented a boosted decision tree model for ETA shown to diner in Search to replace static historical averages.

Saint Louis, MO, US

Saint Louis, MO, US

• Constantly learning and teaching new statistical and econometric techniques to team to ensure analytic methods are best suited to the problem, inferences are statistically sound and appropriately bounded and business.
• Collaborated on linear mixed regression model, ARIMA time series and VAR in R Studio for accurately predicting future claim costs to identify emerging financial issues as soon as possible.
• Oversaw the development of a discrete choice multinomial logit model in R Studio that predicts market share and estimates price elasticities to allow more precise product pricing and forecasts of consumer membership.
• Analyzed characteristics of a profitable membership by using boosted regression trees and logistic regressions, with appropriate regularizations like adaptive lasso, to segment our members and identify primary drivers.
• Developed model of health care providers with anomalous services or billing with techniques such as Local Outlier Factor, Robust Principal Component Analysis and clustering algorithms.
• Built and trained from scratch a team of six members completely new to healthcare and data analytics that now provide exceptional support to many areas of the business. Continue to foster an environment of learning and.

Saint Louis, MO, US

• Developed robust and representative sampling parameters for quality of care initiatives and member incentive programs. Evaluated the efficacy of the initiatives by using statistical testing, mixed models and methods.
• Refined the pricing of insurance premiums by coding a censored regression model in R Studio to estimate the cost effects of various aspects of a member, including product, age, morbidity and durational effects.
• Built from the ground up reporting in Excel and Tableau on health care utilization which drew attention to previously unknown problem areas in the business and which resulted in the creation of a health care.
• Implemented a Risk Adjustment morbidity model in SQL that replaced reliance on costly third party vendors and allowed real time data on the health profile of our membership to be funneled into many other analyses.

Madison, WI, US

• Searched for optical trap parameters that are “Doubly Magic” by improving quantum mechanical calculations of differential Stark Shifts in alkali atoms, using Monte Carlo simulations in Python.
• Invented a scheme for pumping atoms into entangled states using atomic Rydberg levels, then simulated it in Mathematica.
• Designed, built and maintained an experiment that used neutral Cesium atoms coupled with free space lasers to demonstrate a scalable quantum computer and applied Bayesian statistics in order to characterize.

• Probed spectroscopy of Carbon‐60 molecules at the Advanced Light Source at the LawrenceBerkeley National Lab
• Analyzed the systematics of Carbon‐60 fragmentation in the electron impact ionizationapparatus at the University of Nevada Reno

Zurich, ZH, CH

• Developed improvements to commercial sensor technology to enhance lifetime and qualityof the product.

Doctor Of Philosophy (Phd), Physcs

Bachelor Of Science (Bs), Physics And Engineering Physics