Customer Solutions Engineer at City University of New York
New York, New York, United States
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Summary
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Charley Ferrari is a Customer Solutions Engineer with 11 years of experience applying data, APIs, and visualization to solve enterprise information challenges from pre-sales through implementation. Based in New York, he currently architects technical integrations for Dow Jones Factiva Analytics, enabling AI and ML workflows on aggregated news and emerging ESG products. He teaches Data Visualization and ETL at CUNY’s MS Data Analytics program, bringing classroom-tested best practices back into customer-facing collateral and proofs of concept. Earlier roles at Plotly and CB4 sharpened his ability to build demos and POCs in R, Python and JavaScript while translating machine learning insights for non-technical stakeholders. Comfortable at the intersection of product, data engineering, and sales, he combines quantitative training from McGill with an NLP nanodegree to bridge research-ready tooling and production deployments. Colleagues rely on him to turn complex data APIs into actionable workflows that accelerate adoption across strategic accounts.
11 years of coding experience
6 years of employment as a software developer
Nanodegree, Natural Language Processing, Nanodegree, Natural Language Processing at Udacity
High School Degree, High School Degree at Bronx High School of Science
Master’s Degree, Data Analytics, 4.0, Master’s Degree, Data Analytics, 4.0 at City University of New York
BA, Economics, International Relations, Physics, 3.5, BA, Economics, International Relations, Physics, 3.5 at McGill University
Supplemental Class Materials for CUNY IS 608: Knowledge and Visual Analytics
Contributions:40 commits, 2 PRs, 40 pushes in 3 years 7 months
analyticscunyvisual-analyticsknowledge
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Charley Ferrari - Customer Solutions Engineer at City University of New York