Nathaniel Richmond

Nathaniel Richmond Email and Phone Number

Senior Analytics Engineer @ Netflix
Frisco, TX, US
Nathaniel Richmond's Location
Frisco, Texas, United States, United States
Nathaniel Richmond's Contact Details

Nathaniel Richmond personal email

n/a
About Nathaniel Richmond

In this phase of my career, I use data to guide product strategy. I've also spent years building and deploying machine learning and mathematical optimization algorithms. I love tackling nebulous problems with brilliant people. I ramp up slowly so I can understand deeply. I love what I do.

Nathaniel Richmond's Current Company Details
Netflix

Netflix

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Senior Analytics Engineer
Frisco, TX, US
Website:
netflix.com
Employees:
17330
Nathaniel Richmond Work Experience Details
  • Netflix
    Senior Analytics Engineer
    Netflix
    Frisco, Tx, Us
  • Shopify
    Staff Data Scientist
    Shopify Feb 2021 - Dec 2024
    Ottawa, On, Ca
    Building cross-functional metrics, driving data-informed strategy, and establishing foundational data pipelines. Working on some fun projects like demand forecasting.Leading the Orders data team as of December 2022.
  • Keurig Dr Pepper Inc.
    Principal Data Scientist - Direct Store Delivery
    Keurig Dr Pepper Inc. Oct 2019 - Dec 2020
    Burlington, Massachusetts, Us
    Led and grew all data science activities on the Direct Store Delivery team, which is responsible for delivering products to over 200k stores nationwide with a fleet of more than 10k trucks. - Developed a first-of-its-kind product recommender system that applies machine learning techniques to various data streams to identify store-level customized product suggestions. I was the sole technical contributor and built a simulation sandbox that estimated millions of dollars in incremental revenue opportunity.- Managed teams of contractors to build and deploy a highly complex demand forecasting system that recommends data-driven replenishment order quantities at KDP's stores. This system is helping to drive better account-level inventory management, save employees time, and improve various KPIs. - Managed a team of contractors to develop a store/product-level inventory estimator which is a key enhancement to the aforementioned order replenishment system.
  • Bnsf Railway
    Lead Data Scientist - Operations Research
    Bnsf Railway Apr 2018 - Sep 2019
    Fort Worth, Texas, Us
    Led the analytics initiatives in major multi-year projects within the agricultural products business unit, yielding millions in estimated annual savings. Managed interns and contractor teams, while still serving as the primary technical contributor. - Built, validated, tested, and deployed the optimization engine (20k+ lines of code) within an in-house software tool that manages railcar distribution and assignment within the agricultural products business unit. This engine is expected to generate millions of dollars in annual savings.- Developed a decomposition algorithm within Java using CPLEX to assign railcars to trains more efficiently.- Created a reporting tool that alerts equipment managers to inefficient routing of trains and suggests remedial actions. This tool solves the shortest path problem iteratively, and is estimated to save six figures annually.
  • Bnsf Railway
    Sr. Operations Research & Advanced Analytics Specialist
    Bnsf Railway Jun 2016 - Apr 2018
    Fort Worth, Texas, Us
    Worked on various rail-related logistics optimization problems, served as project manager for key initiatives, and drove business value through increased data-driven decision making.- Developed optimization algorithms within complex simulations of multiple intermodal facilities in AnyLogic. These simulations gave insights which were used to inform expansion and investment decisions worth hundreds of millions of dollars. - Deployed a train-to-track assignment algorithm that maximizes terminal through-traffic while accommodating fueling, crew changes, inspections, etc.- Managed a team of consultants on the development, testing, and deployment of a machine learning model to predict empty railcar availability.
  • The University Of Iowa
    Graduate Student Researcher
    The University Of Iowa Apr 2016 - Dec 2016
    Iowa City, Iowa, Us
    During this time, I concluded my graduate research and finished my dissertation, titled "On Stochastic Network Design: Modeling Approaches and Solution Techniques"
  • Crst Logistics
    Solutions Manager
    Crst Logistics Jan 2016 - Apr 2016
    Cedar Rapids, Ia, Us
    I worked part-time as a Solutions Manager at CRST Logistics, while finishing up my Ph.D. thesis work. Using network optimization methods and software, our team worked to generate efficient loads and routes for LTL and truckload shipments. Value added:- Created an interactive pricing tool within Excel for quickly implementing upcharges or discounts at various geographic levels: region, state, and 3-digit zip code.- Devised a mathematical network optimization solution within Python for selecting optimal distribution center locations. Six-figure savings were estimated for a test client.- Implemented various macros within Excel VBA for improving the efficiency of regular tasks for analysts.
  • The University Of Iowa
    Teaching Assistant
    The University Of Iowa Aug 2011 - Dec 2015
    Iowa City, Iowa, Us
    I led discussion sections and served as the independent instructor for various mathematics courses, listed below. Fall 2011 - Calculus I for Engineers (discussion sections)Spring 2012 - Calculus and Matrix Algebra for Business (discussion sections)Fall 2012 - Mathematics for Business (discussion sections)Spring 2013 - Calculus and Matrix Algebra for Business (discussion sections)Fall 2013 - College Algebra (independent instructor)Spring 2014 - Logic of Arithmetic (discussion sections)Fall 2014 - College Algebra with ALEKS (independent instructor)Spring 2015 - Engineering Math II: Multivariable Calculus (discussion section)
  • University Of Sydney
    Visiting Researcher
    University Of Sydney Jun 2015 - Aug 2015
    The University Of Sydney, New South Wales, Au
    Project funded by the NSF East Asia and Pacific Summer Institute (EAPSI). Supervised by Dr. Dmytro Matsypura at the University of Sydney. I studied and created methods to design resilient networks. I coded software to solve network design problems in which user actions (e.g. bridge reinforcement) affect the probabilities of future failure (e.g. earthquake damage). Project results can be readily applied to telecommunications, power, road, airline, and shipping networks.
  • Air Force Research Laboratory - Munitions Directorate
    Air Force Summer Faculty Fellowship Program
    Air Force Research Laboratory - Munitions Directorate Jun 2014 - Aug 2014
    Supervised by Dr. Pavlo Krokhmal (University of Iowa) and Dr. Eduardo Pasiliao (Air Force Research Laboratory). I formulated a model for networks that grow over time, subject to uncertain build times, whose solution presents an optimal design strategy for the network.
  • Lancaster University
    Visiting Researcher
    Lancaster University Jul 2013 - Aug 2013
    Lancaster, Gb
    Supervised by Dr. Peter Jacko. For two more weeks, I continued work on the project begun at the Basque Center for Applied Mathematics.
  • Basque Center For Applied Mathematics
    Research Intern, Networks Group
    Basque Center For Applied Mathematics May 2013 - Jul 2013
    Supervised by Dr. Peter Jacko. I used discretized Markov Decision Processes to model and optimize energy systems with a high penetration of renewables.
  • Kentucky Governor'S Scholars Program
    Summer Assistant To The Academic Dean
    Kentucky Governor'S Scholars Program May 2009 - Aug 2011
    During the summers of 2009-2011, I assisted Dr. Aris Cedeño (Academic Dean and Executive Director of the Governor's Scholar Program) with administrative duties on the Bellarmine University campus and on trips to the other two campuses.
  • Furman University
    Physics Tutor
    Furman University Aug 2010 - May 2011
    Greenville, Sc, Us
    Tutored other undergraduate students in introductory physics courses.
  • Furman University
    Mathematics Tutor
    Furman University Aug 2010 - May 2011
    Greenville, Sc, Us
    Tutored other undergraduate students in introductory mathematics courses.

Nathaniel Richmond Skills

Research Teaching Optimization Mathematical Modeling Matlab Data Analysis University Teaching Latex Python Network Optimization Mathematica Linear Programming Analytics Leadership Public Speaking Algorithm Development Analytical Reasoning Stochastic Optimization Coffee Roasting Cplex Ampl Logistics Microsoft Excel Sql Consulting Machine Learning Uncertainty Analysis Anylogic Java Algorithm Design Algorithms Operations Research R Integer Programming Heuristics Tableau

Nathaniel Richmond Education Details

  • University Of Iowa
    University Of Iowa
    Applied Mathematical And Computational Sciences
  • University Of Iowa
    University Of Iowa
    Mathematics
  • Furman University
    Furman University
    Physics

Frequently Asked Questions about Nathaniel Richmond

What company does Nathaniel Richmond work for?

Nathaniel Richmond works for Netflix

What is Nathaniel Richmond's role at the current company?

Nathaniel Richmond's current role is Senior Analytics Engineer.

What is Nathaniel Richmond's email address?

Nathaniel Richmond's email address is na****@****owa.edu

What schools did Nathaniel Richmond attend?

Nathaniel Richmond attended University Of Iowa, University Of Iowa, Furman University.

What are some of Nathaniel Richmond's interests?

Nathaniel Richmond has interest in Science And Technology, Education.

What skills is Nathaniel Richmond known for?

Nathaniel Richmond has skills like Research, Teaching, Optimization, Mathematical Modeling, Matlab, Data Analysis, University Teaching, Latex, Python, Network Optimization, Mathematica, Linear Programming.

Who are Nathaniel Richmond's colleagues?

Nathaniel Richmond's colleagues are Bhagirath Chaudhary, Salaam Ali Khan, Joseph Perez, Jessica Smith, Nathan Velaborja, Anna Liza Reyes, Roger Piro.

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