Daniel Friedman
Medical Billing Coding Manager at DocEnomics
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolDaniel Friedman is a detail-driven Medical Billing and Coding Manager with seven years of experience managing complex, multi-specialty revenue cycles and leading teams to improve claim accuracy and collections. Based in New York, he combines deep technical fluency—covering EMR/EHR systems (NextGen, Epic, eClinicalWorks), clearinghouse processes, Windows/Mac/Linux environments, and scripting/remote tools—with certified medical coding expertise to resolve denials and streamline AR workflows. He’s comfortable auditing financials, handling sensitive patient records under HIPAA, and training staff to raise operational standards. A former technician and medical scribe, he brings hands-on IT and clinical documentation experience that helps bridge gaps between clinical teams and billing operations. Known for an 80 WPM typing speed and the ability to build computers from scratch, he blends efficiency and technical problem-solving into everyday practice.
7 years of coding experience
Associate of Arts and Sciences - AAS, Computer and Information Sciences and Support Services, Associate of Arts and Sciences - AAS, Computer and Information Sciences and Support Services at SUNY Westchester Community CollegeComputer and Information Systems Security/Information Assurance, Computer and Information Systems Security/Information Assurance at Empire State University
Github Skills (51)
data-mining10
apply10
documentation-generator10
science10
data-science9
jupyter9
waze9
analytics9
python9
machine-learning9
statistics9
pdf9
deep-learning9
data-visualization9
tomtom8
Programming languages (6)
Github contributions (5)
dafriedman97/mlbook
Jun 2020 - Nov 2021
Repository for the free online book Machine Learning from Scratch (link below!)
Contributions:35 commits, 6 PRs, 115 pushes in 1 year 5 months
machine-learning-from-scratchpythondata-sciencemachine-learning-bookmachine-learning
dafriedman97/2019-CS109A
Sep 2019 - Nov 2019
https://harvard-iacs.github.io/2019-CS109A/
Contributions:31 pushes in 2 months
harvard
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