Nathan Midkiff Email & Phone Number

United States

• Demonstrated end-to-end ownership of 7 projects in one year, creating scoping and design documents, implementing the code, creating unit and integration tests, and collaborating with subject matter experts, product.
• Conducted A/B tests for each project I implemented, creating an experiment plan, running the test on millions of users on our team's page, and performing a post-experiment analysis. This analysis involved looking for.
• Created a new feature, with over 18 million uses per month, and shared my results with other teams across Amazon, leading to the feature being implemented across the site.
• Designed and implemented a new feature, with over 1 million uses per month, by understanding customer behavior using the learnings of a previous analysis.
• Participated in an oncall rotation, including handling over 10 high severity issues, during which I would dig into issues found on our site, including bugs, latency, and bot tra c, as well as being available 24/7 to.

Verona, Wisconsin, United States

• Completed 3 months of training in Python, C#, Typescript, and SQL which led to knowledge in software development practices.
• Worked in a team of 12 to design and build predictive models for an Inpatient hospital setting for Epic customers.
• Improved accuracy of these models by 17% by designing, writing, and testing SQL scripts which collected patient data for use in data models.
• Created a data model pipeline in Python which cleaned and transformed data and trained a model to predict readmission among diabetes patients.
• Designed and implemented retrospective validation for an ICU predictive model used in 29 hospitals around the US through collaboration with a cross-functional team of model and framework experts.

Los Angeles, California, United States

• Current member of UPE, an International honor society in the Computing and Information Disciplines, with members among the most outstanding undergraduate Computer Science students at UCLA
• Tutored over 20 engineering students at UCLA in a wide range of subjects, including computer science, math, and physics
• Refined skills in networking, web services, and databases through professional workshops in Microsoft Azure and cloud computing

Los Angeles, California, United States

• Conducted research investigating the spread of COVID-19 in the United States, providing accessible data and predictions for public viewing
• Collected data on hospitalization and infection rates using Python, web scraping tools, web APIs, and data visualization tools, in order to keep a regularly updated database for use in understanding and developing.
• Collaborated with a team of undergraduate and graduate students to form a machine learning model to predict future infection rates and improved SIR model
• Visualized the results of the predictive model using including two maps to display the reported and true infection rates and a graph for understanding when the model believes peak cases will occur

West Lafayette, Indiana, United States

• Conducted research investigating the use of sparse neural networks as a method to reduce parameters in a neural network using Tensorflow and Pytorch
• Programmed basic models such as multilayer perceptrons and convolutional neural networks to better understand Tensorflow and Pytorch
• Developed a customizable neural network model using the Pytorch API to perform tests on sparse neural networks
• Executed a pipeline to build multiple sparse neural network models and test and compare performance
• Authored a comprehensive report describing findings in studying sparse and dense neural networks, discussing the problem,describing the procedure, and explaining the results of the work done
• Connected with Purdue's community of professors and graduate students through attending weekly lectures and workshops coveringmultiple topics about neural networks