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Ray Maynard Email & Phone Number

Co-Founder and Primary Research Partner at Eruditis
Location: Milwaukee, Wisconsin, United States 7 work roles 3 schools
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Role
Co-Founder and Primary Research Partner
Location
Milwaukee, Wisconsin, United States
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Who is Ray Maynard? Overview

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Ray Maynard is listed as Co-Founder and Primary Research Partner at Eruditis, a with 265 employees, based in Milwaukee, Wisconsin, United States. AeroLeads shows a matched LinkedIn profile for Ray Maynard.

Ray Maynard previously worked as Primary Research Partner at Eruditis and Supply Chain Analyst at Regal Rexnord. Ray Maynard holds Doctor Of Philosophy - Phd, Nuclear Engineering from University Of Missouri-Columbia.

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Eruditis

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Profile bio

About Ray Maynard

My focus is building world-class forecasting and visualization capabilities using applied data science and start-to-finish process automation.My background in nuclear engineering (6 yrs), physics, and computer science (10 yrs) allows me to approach problems in non-traditional ways, leading to disruptive improvement opportunities. As a co-owner of a fintech startup I have gained broad exposure to modern machine learning methods, as well as an understanding of how to prioritize solutions to achieve business outcomes.

Listed skills include Mathematics, Physics, Process Automation, Sap Products, and 17 others.

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Ray Maynard's current company

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Eruditis
Eruditis
Co-Founder and Primary Research Partner
Milwaukee, WI, US
Website
Employees
265
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7 roles · 20 years

Ray Maynard work experience

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Co-Founder And Primary Research Partner

Milwaukee, Wi, Us

Primary Research Partner

Current

As lead researcher for Eruditis I am involved in all facets of automated trading system development, including: - developing new feature inputs for our ML models - creating metrics to define "what is good?" for strategies and models - leveraging LLMs like GPT to extract semantic information from unstructured data - reviewing and optimizing the research topics assigned to data scientists - helping strategy automation analysts improve their solutions - advising system engineers on infrastructure capabilities needed to accelerate strategy and data science initiatives - collaborating with data engineering to ensure the data model supports our data scientists in creating the machine learning models used throughout our trading systemI have primary responsibility for integrating new component capabilities into the strategy development pipeline, and work closely with the lead developer of our trading system to ensure our solutions are seamlessly supported from back testing to live trading.

Jan 2016 - Present

Supply Chain Analyst

Milwaukee, Wisconsin, Us

I was a Black Dot Owner (strategic corporate initiative) in charge of improving year-on-year lead time and availability across all manufacturing sites in my division. I led a cross-functional team of materials managers, commercial product owners, and data analysts to achieve goals set by senior leadership. One deliverable was a specification for measuring lead time and availability.Prior to this project, I developed a dynamic inventory forecasting model for my division to replace the previous manual process. The model calculates an inventory target that changes based on monthly plant performance, enabling each plant to achieve an end-of-year divisional DIO improvement objective. In the course of my research I discovered that pursuing the original DIO objective could lead to massive swings in inventory targets, which would be difficult or impossible for plants to achieve. As a result of this finding, the division was able to refactor the DIO objective in a way that was less sensitive to demand/sales forecasts, allowing the company to improve DIO without subjecting plants to unreasonable inventory goals.Since joining RegalRexnord I've... - learned SAP supply chain data model - created graph database of the material component hierarchy to analyze lead time - automated inventory audits at one of the primary manufacturing sites, improving the accuracy while reducing the amount of sampling to only what is statistically justified - refactored 52-tab spreadsheet that required days of manual processes into 7-tab pivot table-based relational data model that runs automatically every month - normalized material classification system across three different manufacturing systems to give leadership an apples-to-apples view of each plant

Jul 2022 - Feb 2024
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Colleagues at Eruditis

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3 education records

Ray Maynard education

Doctor Of Philosophy - Phd, Nuclear Engineering

University Of Missouri-Columbia

Bachelor Of Science - Bs, Physics

University Of Missouri-Kansas City

Bachelor Of Science - Bs, Computer Science

University Of Nebraska-Lincoln
FAQ

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What company does Ray Maynard work for?

Ray Maynard works for Eruditis.

What is Ray Maynard's role at Eruditis?

Ray Maynard is listed as Co-Founder and Primary Research Partner at Eruditis.

Where is Ray Maynard based?

Ray Maynard is based in Milwaukee, Wisconsin, United States while working with Eruditis.

What companies has Ray Maynard worked for?

Ray Maynard has worked for Eruditis, Regal Rexnord, Savannah River Nuclear Solutions, and University Of Missouri-Columbia.

Who are Ray Maynard's colleagues at Eruditis?

Ray Maynard's colleagues at Eruditis include Veronica Burt, Mark Bark, Shantell Patton, Jess Ramos, Msba, and Katie Rodriguez.

How can I contact Ray Maynard?

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What schools did Ray Maynard attend?

Ray Maynard holds Doctor Of Philosophy - Phd, Nuclear Engineering from University Of Missouri-Columbia.

What skills is Ray Maynard known for?

Ray Maynard is listed with skills including Mathematics, Physics, Process Automation, Sap Products, Reporting And Analysis, Matlab, Data Analysis, and Statistical Data Analysis.

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