Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

Hi, I’m Matthew Green. I’m a Senior Data Scientist with 6+ years of experience building and deploying production ML systems across automotive safety and agriculture. I enjoy turning complex data into practical decisions and working cross-functionally to drive measurable business impact. I excel at applied ML, deep learning, LLM integration, and scalable cloud data platforms, and I love translating models into real-world guidance. I’m passionate about mentorship, collaboration, and turning model outputs into decisions that matter.…Hi, I’m Matthew Green. I’m a Senior Data Scientist with 6+ years of experience building and deploying production ML systems across automotive safety and agriculture. I enjoy turning complex data into practical decisions and working cross-functionally to drive measurable business impact. I excel at applied ML, deep learning, LLM integration, and scalable cloud data platforms, and I love translating models into real-world guidance. I’m passionate about mentorship, collaboration, and turning model outputs into decisions that matter.

Matthew Douglas Green

Data Scientist, AI Engineer, AI Developer, +2





Hi, I’m Matthew Green. I’m a Senior Data Scientist with 6+ years of experience building and deploying production ML systems across automotive safety and agriculture. I enjoy turning complex data into practical decisions and working cross-functionally to drive measurable business impact. I excel at applied ML, deep learning, LLM integration, and scalable cloud data platforms, and I love translating models into real-world guidance. I’m passionate about mentorship, collaboration, and turning model outputs into decisions that matter.…Hi, I’m Matthew Green. I’m a Senior Data Scientist with 6+ years of experience building and deploying production ML systems across automotive safety and agriculture. I enjoy turning complex data into practical decisions and working cross-functionally to drive measurable business impact. I excel at applied ML, deep learning, LLM integration, and scalable cloud data platforms, and I love translating models into real-world guidance. I’m passionate about mentorship, collaboration, and turning model outputs into decisions that matter.

Available to hire

Hi, I’m Matthew Green. I’m a Senior Data Scientist with 6+ years of experience building and deploying production ML systems across automotive safety and agriculture. I enjoy turning complex data into practical decisions and working cross-functionally to drive measurable business impact.
I excel at applied ML, deep learning, LLM integration, and scalable cloud data platforms, and I love translating models into real-world guidance. I’m passionate about mentorship, collaboration, and turning model outputs into decisions that matter.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Senior Data Scientist at General Motors

January 1, 2025 - Present

Developed and owned a telemetry data pipeline to process large, complex telemetry datasets (>100 TB) and implemented a convolutional neural network (CNN) to predict vehicle engine failures with 80% true positive accuracy, now in production to deliver predictive safety insights. Integrated large language models (LLMs; GPT, Llama) with existing ML models (PySpark; SVM, XGBoost) to assess their effectiveness in predicting vehicle safety hazards from text data in customer complaints and warranty claims, resulting in improved overall model performance.

Data Scientist at General Motors

January 1, 2022 - January 1, 2024

Partnered with product and business teams to identify EV charging failure modes using clustering and distributed analytics, informing decisions projected to drive ~$15M in revenue. Designed and owned an automated demand forecasting pipeline supporting ~$1B in annual revenue, improving forecast accuracy by >40% and enabling ~$10M in annual cost savings.

AI/ML Data Scientist (Contract/Advisory) at Cloudseed AI Inc.

January 1, 2024 - January 1, 2026

Owned and deployed an end-to-end crop recommendation system using historical and projected weather, soil, and environmental data, translating modeling outputs into actionable guidance for farmers. Built predictive models achieving ~65% accuracy on historical yield prediction and delivered a user-facing application with integrated LLM-powered explanations and natural-language Q&A.

Graduate Student Researcher at University of California, Riverside

January 1, 2016 - January 1, 2022

Designed three experiments (observational, experimental, and synthesis) to guide management and conservation of biodiversity in aquatic ecosystems across spatial and temporal scales. Responsible for project management, data collection, data wrangling (R), version control (GitHub), and statistical analyses (R, ArcGIS) including time series analysis, multivariate analysis, and GLMMs to predict spatial and environmental drivers of diversity and stability.