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Grey Matter LLC
Data Scientist
June 29, 2026 – Present
waste-classification-machine-learning
May 22, 2026 – Present
This project explores machine learning and deep learning approaches for waste image classification using the RealWaste dataset. Models including MobileNet, EfficientNetB0, GoogleNet, and YOLOv8 were trained using PyTorch to classify waste categories such as plastic, paper, cardboard, metal, glass, and organic waste.
View Projectwaste-classification-ml
April 17, 2026 – Present
Machine learning project for waste classification (recycling, compost, landfill)
View ProjectCSCI611_Spring26_Julia_Reinhart
April 3, 2026 – Present
CSCI611_Spring26_Julia_Reinhart — GitHub repository
View Projectword2vec-gp-replication
December 22, 2025 – December 22, 2025
Replication and analysis of Word2Vec embeddings and genetic programming for word analogies.
View Projectmy-rag-chatbot
June 22, 2025 – September 4, 2025
Build a custom RAG (Retrieval-Augmented Generation) chatbot using Node.js and ChromaDB — no LangChain required! This step-by-step tutorial walks you through setting up a fast, clean, and flexible knowledge assistant for internal company docs.
View ProjectUniversityEnrollmentSoftware
May 29, 2025 – June 8, 2025
student enrollment software using JavaFx, MySQL, CSS, and Data Structures (generic linked list to replace the ArrayList)
View ProjectSkateShop
December 16, 2024 – May 29, 2025
final project from CS157 and continued to build upon it, MERN stack
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a strong interest in machine learning and data science, aligning with the target role of Data Scientist. However, the project diversity is somewhat limited, heavily focused on waste classification and academic replications. The candidate has only one listed professional experience as a Data Scientist, which is current, but no details are provided about the responsibilities or achievements in this role. This limits the ability to fully assess cultural fit and real-world application of skills beyond personal projects.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.