Kevin Arvai

About Kevin Arvai

I am a data scientist with experience in clinical genomics. I am also a Python enthusiast and an open-source advocate. My ambition is to create software that leverages data to improve human health. Experience:Deploying machine learning models using scikit-learn and mlflow.Delivering natural language processing (NLP) solutions for named entity recognition.Collaborating on software projects using git for version control.Optimizing algorithms on high-performance computing platforms.Python, SQL, shell scripting, R, and cloud computing.Personal:I developed and currently maintain Imputer, an open-source genome imputation application that performs genotype imputation for members of the non-profit organization, Open Humans.I am active in the open-source community, frequently developing and contributing to open-source repositories on GitHub. Occasionally, I compete in machine learning challenges or write kernels on Kaggle I also enjoy participating in hackathons and local coding meetups.

Experience

1. Senior Engineer, Machine Learning

   BTI360

   Jan 2025 — Present · VA, US

Education

• Udacity

  Deep Learning Nanodegree, Artificial Intelligence

  2017 — 2017

• Indiana University Bloomington

  Certificate, Histologic Technology/Histotechnologist

  2011 — 2011

• Lycoming College

  Bachelor of Science (B.S.), Biology, General

  2004 — 2008

• George Mason University

  Master of Science (M.S.), Biomathematics, Bioinformatics, and Computational Biology

  2012 — 2014

Skills

• Immunohistochemistry
• Dna Sequencing
• Clinical Research
• R
• Bioinformatics
• Cancer
• Stem Cells
• Cancer Biology
• Python
• Next-Generation Sequencing
• Data Mining
• Perl
• Machine Learning
• Data Science
• Cancer Genomics
• Cancer Research
• Deep Learning
• Histology