Ryan Sloot is a Senior Portfolio Data Analyst with 11 years of cross-functional experience blending finance, data science, and client-facing wealth management. Currently at Addepar after managing a $2B+ book of clients at Morgan Stanley, he brings practical portfolio analytics and trading experience to data-driven investment platforms. He built automated Python scripts and ML-informed alerts at his research firm Purify LLC to monitor micro and macro trends, and shares deep learning projects publicly on GitHub. Pursuing the CFA and a Coursera specialization in Deep Learning, he pairs formal finance training with hands-on machine learning practice. Based in Salt Lake City, he uniquely bridges client relationship skills and technical delivery—helping translate complex data signals into actionable investment insights.
11 years of coding experience
2 years of employment as a software developer
Specialization Deep Learning, Specialization Deep Learning at Coursera
Udacity
Bachelor's degree Business (Legal Studies), Bachelor's degree Business (Legal Studies) at W. P. Carey School of Business – Arizona State University
Contributions:3 pushes, 1 branch in 1 year 3 months
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