John Lassetter Email & Phone Number

Remote (Us)

Remote (Us)

Providing state of the art insurance fraud detection services tailored to our clients using machine learning- Contributed to various parts of the codebase and ETL pipeline including data cleaning, mapping, and configuring the Client’s UI experience- Created novel fraud detection scenarios by implementing business logic from healthcare experts into automated and reusable C# code- Managed a client with minimal oversight, including planning and delegation of data science tasks in addition to my personal contributions

Remote

Supporting students by explaining machine learning concepts and implementations in a variety of contexts

Remote

▪ Combined deidentified user data with census data to answer questions about the representativeness of our dataset and deployed interactive visualizations to a Looker dashboard for others to easily view.

Remote

▪ Designed and deployed a web app using Streamlit which estimates and displays solar power production for US counties using publicly available climate data I collected from an API and stored in a SQLite database▪ Identified commonly cited reasons Americans choose not to get vaccinated by applying natural language processing techniques to tweets▪ Developed a model using Scikit-Learn to predict apartment rent based on the apartment’s description by web scraping Apartments.com with Beautiful Soup▪ Classified potential loans as likely defaults or not by training, optimizing, and comparing multiple models including a logistic regression and tree based models

▪ Designed and taught a custom TensorFlow curriculum to myself, focusing on image processing, NLP, and time series processing with neural networks▪ Passed Google’s TensorFlow Developer Certification Exam

Eugene, Oregon, United States

▪ Designed optical systems involving many laser sources in Zemax to achieve product requirements▪ 3D printed small opto-mechanical components using Solidworks for prototyping▪ Troubleshooted an alpha version of a product, producing design revisions to improve performance in order to meet product requirements▪ Presented work regularly at technical reviews as well as at product demos for the business management team.

Ucla

▪ Constructed and designed multiple human reaction time experiments using LED’s and buttons controlled by an Arduino board and original code▪ Performed Fourier analysis on reaction time data for my lab group in Python to produce figures for 10 weekly progress reports▪ Co-designed and co-presented a research poster on modulation of human reaction time to visual stimulus by alpha band brain waves at UCLA's Undergraduate Research Poster Day 2019▪ Collaborated on writing a 500+ line Matlab script to analyze data for several groups and produce poster-ready figures▪ Increased lab group meeting attendance by 25% by finding a better meeting time and encouraging communication outside of meetings on a weekly basis

Sacramento, California Area

▪ Tutored statistics, physics, and bass trombone

Data Science And Engineering

- Cemented fundamental best practices in applying python packages such as pandas, sklearn, and matplotlib to model and extract actionable.

Master'S Degree, Engineering Physics/Applied Physics

Industry Oriented degree concentrated on Optics

Bachelor Of Science - Bs, Physics

Activities and Societies: Kappa Kappa Psi - Honorary Band Service Fraternity Marching Band - Rank LeaderTechnical experiences: .