Colin Mason Email & Phone Number

Irvine, California, United States

As a Demand Planner at Rivian Automotive, I manage critical aspects of demand forecasting and inventory planning for service parts, supporting Rivian’s growing service network. My role involves processing large datasets, including demand history and inventory, and leveraging these to drive accurate demand planning models. I regularly work with advanced.

Philadelphia, Pennsylvania, United States

• Junior data scientist in charge of implementing large language model architecture and prediction modeling on company employee data. Utilized AWS EC2, HuggingFace, Sci-Kit Learn, Colab, and PostgreSQL.
• Trained open-source large language model using AWS EC2 Deep Learning environments. Deployed as a natural language querying assistant to aid executives with real-time business decision-making.
• Developed an ensemble machine learning model to forecast the performance of loan officers, successfully predicting quarterly target achievement with an accuracy rate of 85%.

Provo, Utah, United States

• Research assistant lead in charge of developing statistical learning methods for addiction and reinforcement learning neuroscience lab. Primarily used Python, R, PostgreSQL, and Git.
• Developed ML system with XGBoost to automate anomaly detection in dopamine signals of rodent brains.
• Managed development team in creating Python module to stream rodent movements in virtual environments.
• Discovered differences in drug interactions of rodent dopamine signals using linear regression. Published findings in the Journal of Neurochemistry.

Provo, Utah, United States

• Research assistant in charge of extracting personal information from historical records in SQL database and scraping school lunch menus across the USA.
• Investigated machine learning project that was over fitting on school lunch menu classification. Increased training data size from 500 to 2500 and improved AUC score by 10% on test set.
• Developed Python script to save time extracting personal records from XML files by 25%.

Provo, Utah, United States

• Junior data scientist who developed data collection and storage system for financial technology natural language processing pipeline. Utilized Python, Docker, PostreSQL, and Bash.
• Engineered a Python web scraper to scrape millions of comments and headlines across various media sites.
• Constructed PostgreSQL database and streamed over 20 million records for ML training.
• Deployed ETL process to Azure Cloud, enabling efficient preparation for deep learning model training.
• Conducted comprehensive statistical analysis on data stream and on NLP model performance.
• Negotiated with investors to help raise $250,000 in angel funding (5-employee startup).

M.S., Computer Science

Bachelor'S, Statistics

Bachelor'S, Psychology

Minor, Mathematics