Welcome to my site! I have 3 years of academic research experience and 2 years of industry work related to analytics and software. I am currently working as a Data Scientist at Experian Fraud and ID, where my team is applying state of the art technology to innovate financial services. Aside from my work, I have an infinite supply of side projects I am working on, and love connecting with new people across multiple industries. Feel free to get in touch!
I build production-ready Machine Learning models
I architect software and APIs, and contribute to open source projects
I build full-stack applications and make websites.
I write and produce music with multiple local artists.
Most of my current work is centered around ML and Data Science.
Because data is taking over the world, don't you agree? ;)
Solfege.ai
A deep learning model built to detect hand symbols and translate them into musical notes.
Enhancing Collective Estimates by Aggregating Ordinal and Cardinal Inputs
A study about how Collective Intelligence can be altered by different data aggretation methods. Published in AAAI HCOMP.
Intellivest
A platform that uses data and predictive modelling to help retail investors make better trades. We have an active community on github building an app, and various data-driven trading strategies.
Machine Learning Techniques for Credit Card Fraud Detection
Machine learning has become an increasingly accessible and reliable method to detect fraudulent transactions.
Algorithmic Trading with Python and TD Ameritrade
We are currently in the midst of a technological revolution in finance. With new advances in computing and artificial intelligence, there is a lot that can and will be automated.
Clustering on Mixed Data Types in Python
Many datasets contain a mixture of categorical and continuous data. However, it is not always straightforward how to cluster datasets with mixed data types.
Let me know if you need help with a project.
(520)-403-4343
ryankemmer77@gmail.com