Charles Spalding
Data Analyst
Chicago, Illinois, United States
Summary
👤
Senior🎓
Top SchoolCharles Spalding is a data analyst with eight years of cross-industry experience who specializes in turning messy data into actionable business decisions using Python, SQL, SAS, and Tableau. He currently shapes machine learning and rule-based solutions at Nordstrom—improving model accuracy, running A/B tests on payment portfolios, and operationalizing decision-tree logic into production. His background spans mortgage operations and risk mitigation, where he built Power BI reporting for C-level stakeholders and led a 14-person team to streamline workflows and integrate high-use third-party tools. Trained at General Assembly, he helped deliver a text classifier that improved accuracy from 50% to 98.5% and is comfortable communicating technical results to non-technical audiences. Early research roles in developmental psychology and leadership experience founding a college neuroscience club give him a rare blend of statistical rigor, user-focused communication, and team-building. He’s actively expanding his toolkit toward R, TensorFlow, Tableau advanced use cases, and enterprise systems like SAP to broaden his impact.
8 years of coding experience
3 years of employment as a software developer
Data Science Data Science Immersive, Data Science Data Science Immersive at General AssemblyBachelor’s Degree Psychology, Bachelor’s Degree Psychology at Beloit College
Github Skills (6)
content-based-recommendation6
recommendation-engine4
web-application4
recommendation-system3
recommender-system2
machine-learning2
Programming languages (1)
Github contributions (5)
cspalding93/Podcast-Recommender-System
Nov 2019 - Mar 2020
Content-Based Recommendation System for Podcasts🎙
Contributions:22 commits, 4 PRs, 20 pushes in 4 months
recommendationweb-applicationmachine-learningrecommendation-systemcontent-based
cspalding93/katykitchen
Mar 2019 - Mar 2019
Contributions:74 pushes, 1 branch in 14 days
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