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Colin Macwilliam has a diverse work experience in the field of data engineering, data science, technical consulting, and software engineering.

At Session AI, Colin currently works as a Data Engineer, where they automate internal cloud processes to adjust customer segment bands and improves model recall and PR-AUC using Optuna and LightGBM.

Colin previously worked at Regions Bank as a Data Scientist, leading the migration of core CCAR models from SAS to a cloud-based distributed process using PySpark. Colin also rebuilt the ARM model for scoring risky portfolios and automated a data request process, saving other quant teams a significant amount of time annually.

As a Data Science Intern at Lockheed Martin, Colin supported data engineers by creating and improving data pipelines using Alteryx. Colin also constructed dashboards using Tableau and optimized internal algorithms, significantly increasing their speed.

Colin has also worked as a Technical Consultant at NETSCOUT, contributing to technical projects, and as a Technical Consultant at Phraze, researching the medical billing automation market and creating a detailed workflow for product implementation.

In addition, Colin gained experience as a Software Engineer Intern at Phraze, where they deployed a custom analytics pipeline as a Google Cloud-based Flask API and implemented medical note classification using Optical Character Recognition and Support Vector Machine.

Overall, Colin Macwilliam has a well-rounded background in data engineering, data science, technical consulting, and software engineering, with expertise in automating processes, migrating models, optimizing algorithms, and developing data pipelines and dashboards.

Colin Macwilliam completed their Bachelor's degree in Computer Science from The University of Alabama in 2020. Following that, they pursued a Master of Business Administration (MBA) with a focus on Financial Engineering at The University of Alabama from 2020 to 2021. Currently, Colin is enrolled in the Georgia Institute of Technology, where they are working towards a Master of Science (MS) degree in Computer Science, which they are expected to complete in 2024.