Charles Morris
Summary
👤
SeniorCharles Morris is a seasoned data science leader guiding Microsoft's AI initiatives for Financial Services, with a strong focus on Generative AI, LLMOps, and MLOps on AzureML. Based in the New York City metropolitan area, he brings nine years of experience turning complex financial challenges into scalable AI solutions. He previously built and led Putnam Investments' enterprise data science capability from the ground up, establishing data platforms and cross-functional programs across Investments, Distribution, and Product teams. At Microsoft, he progressed through Azure Data Science architecture and served as Head of Enterprise Data Science for Financial Services before taking on the Chief Data Scientist for Financial Services role. He holds an MSc in Analytics from NC State and a BA in Economics from Boston University, blending quantitative rigor with business acumen, and he is an AI generalist with deep FS domain expertise.
10 years of coding experience
Github Skills (89)
documented10
azure10
iml9
science9
microsoft-azure9
lifecycle9
microsoft9
xai9
blackbox9
interpretable-machine-learning9
directory-structure9
transparency9
differential-privacy8
python8
lime8
Programming languages (10)
Github contributions (5)
dslp/dslp-repo-template
Nov 2019 - Jul 2020
Template repository for data science lifecycle project
Contributions:29 commits, 4 PRs, 3 pushes in 7 months
pythonsciencelifecycledata-sciencemachine-learning
dslp/dslp
Apr 2020 - Sep 2020
The Data Science Lifecycle Process is a process for taking data science teams from Idea to Value repeatedly and sustainably. The process is documented in this repo.
Contributions:1 review, 24 commits, 12 PRs in 4 months
pythonsciencelifecycledata-sciencedocumented
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