Matthew Chesser Email & Phone Number

Grand Rapids, Michigan, United States

- Research, develop, and maintain data science and machine learning solutions to support digital experiences for Steelcase dealers and designers.- Relied upon for consultation and R&D for special requests and strategic projects by leadership - particularly regarding product data- Regularly present work to audiences ranging from engineers and data scientists to C-level executives.- Design and oversee capstone projects for master's level data science students at partnering universities.Key Technologies Utilized:- Azure- Azure DevOps- Azure's OpenAI service (embedding and large language models)- Bash- Databricks- Git- HuggingFace- JavaScript (Vanilla, Vue, React)- Pinecone Vector Databases- PySpark (including PySpark ML)- Python - REST APIs- SQLLibraries/Frameworks:ElementTree, Flask, LangChain, Matplotlib, NetworkX, NLTK, NumPy, OpenCV, Pandas, Pillow, Pinecone, PySpark ML (MLLib), PyTorch, Scikit-Learn, SciPy, Seaborn, SentenceTransformers, Shapely, TensorFlow & Keras, XGBoost

Grand Rapids, Michigan, United States

- Designed and implemented a novel algorithm to identify structure in highly variable environments using 3D coordinate data. This new algorithm was 80% more accurate, 36% faster, and 99% more memory efficient than the previous production algorithm and the outputs of the algorithm enabled numerous data science projects.- Architected a robust data model capable of handling the complexity of all Steelcase product data. This new model reduced the number of internal data models from 7 to 1 and enabled an ERP migration.

Grand Rapids, Michigan, United States

- Led analysis work on strategic initiatives to quantify complexity of product data and provided recommendations to IT leaders on complexity reduction.- Leveraged computer vision techniques and models for various prototypes including quality assurance in manufacturing facilities, product image post-processing, and digital experiences.- Led the data science, data engineering, and software engineering work for multiple prototypes and MVPs of digital customer experiences.

Grand Rapids, Michigan, United States

• Assisted with data preparation, modeling, and optimization for machine learning projects to inform business decisions. One of these projects was the subject of a paper which was accepted to the 34th Florida Artificial Intelligence Research Society (FLAIRS) Conference.• Developed in-house web tools for analytics using Azure DevOps, Python Flask, Bootstrap CSS, EJS, and React JS.

Ada, Michigan

• Assisted in the development of a cloud-based global data platform in Amazon Web Services.• Acquired and curated hundreds of millions of data records from global source systems.• Optimized and automated the data acquisition workflow through Bash and Python scripting.• Led a machine learning proof of concept for anomaly detection on AWS Kinesis streams.

Bse, Computer Science And Data Science

Activities and Societies: Christians on Campus, IEEEB.S.E. in Computer Science (Magna Cum Laude) B.S.E. in Data Science (Magna Cum Laude).

Master Of Science - Ms, Data Science, 3.97

Completed in 2 years while working full time.