Nicholas Kurtansky

Senior Data Analyst

New York, New York, United States
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Summary

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Senior
🎓
Top School
Nicholas Kurtansky is a Senior Data Analyst with eight years of experience applying rigorous statistical methods to clinical dermatology research at Memorial Sloan Kettering Cancer Center. He specializes in translating dermoscopic and reflectance confocal microscopy data into actionable insights for pigmented lesion diagnosis, clinical trial design, and practical AI integration in the clinic. Trained in statistics and epidemiology (MSU, high honors) and experienced with large healthcare datasets and SQL-driven infrastructure, he blends quantitative rigor with domain fluency alongside clinicians and researchers. His work includes curating ML-ready imaging datasets and contributing to international skin imaging archives, reflecting a rare combination of hands-on data engineering, reproducible analysis, and clinical research impact. Colleagues depend on him to define measurable outcomes and maintain high analytic integrity when evaluating diagnostic tools and therapeutic pathways.
code8 years of coding experience
job3 years of employment as a software developer
bookHigh School Diploma, 4.0, High School Diploma, 4.0 at Monroe High School
bookStatistics and Probability (B.S.) (with high honors), Epidemiology and Global Public Health, 3.95, Statistics and Probability (B.S.) (with high honors), Epidemiology and Global Public Health, 3.95 at Michigan State University
bookEastern European History, Eastern European History at Corvinus University of Budapest
languagesEnglish, Spanish, Hungarian
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Github Skills (10)

nodejs5
javascript4
nextjs4
scoring4
react4
classification4
kaggle3
database2
command-line-tool1
api1

Programming languages (7)

LiquidRCSSJavaScriptHTMLRubyPython

Github contributions (5)

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ISIC Challenge 2020 Website
Contributions:1 review, 15 PRs, 2 pushes in 4 years 4 months
reactjavascriptisic-challengeisicreactjs
Scripts written in preparing the contextual dermoscopic image database for the SIIM-ISIC Melanoma Classification competition. The competition was hosted on Kaggle during the Summer of 2020 https://www.kaggle.com/c/siim-isic-melanoma-classification).
Contributions:11 commits, 2 PRs, 9 pushes in 1 day
classificationdatabasekaggle
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