TYSHAWN RENE

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About Me

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I am a Computer Scientist who has recently graduated from Colby College with a particular interest in Data Science and AI/Machine Learning. I have experience working with a professor at Colby College to study the correlation between AI and Kinematics using Python and NumPy.Currently, I'm studying large and small AI models, and am working on building one myself. I'm also applying for data science, machine learning and software engineering full time roles.

Projects

SynQ

A webapp based in Python using Flask that helps gamers scheduling times to play with their friends and what they wish to play. A host simply creates a session, enters their availability, then sends a link to their friends where they can quickly enter availability and vote for a game to play. A AI recommendation software that can connect to a user's Steam library is included as well, allowing for speedy game scheduling.

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Colby Shift Management

A webapp based in Python using Flask that creates a scheduling solution for managers of student workers. Managers and students can enter their availability, and time constraints and the app can generate a working schedule that fits within all constraints and availability.

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Colby Forecasting 2025

A project based in R that uses the OBIS database published by NOAA and the Random Forest classification algorithm to forecast the presence of Jonah Crabs in the Gulf of Maine for 2055 and 2075.

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Password-Enter

A program that enters a list of passwords into an application on an Android device, using a computer and the Android Debug Bridge (ADB).

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Kinelog

A large-scale, WIP project blending AI and Kinematics. The project involves taking movement data from either self-recorded sources or datasets found online, training an AI model on this data, and using it to answer questions such as which style of dance is used.

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Contact

Connect with me on GitHub, Email me, or LinkedIn.