I'm an astronomer with 12 years experience with the full lifecycle of data collection -> collation -> cleaning -> exploration -> analysis (classification and outliers are my strong points, decent at bayesian modeling / fitting) -> visualization / interpretation -> publication. Looking to get into data science, need work on skills with cloud infra (aws, azure), production quality code (version control, complexity, automated pipelines). Interested in recommenders and model optimization problems.
Remote: Ok if team active online otherwise meatspace preferred
Willing to relocate: Yeah, to Seattle
Technologies: Python (data science stack sklearn, xgboost etc.), archlinux (bash, emacs, etc.), reasonable sql
Resume: https://drive.google.com/file/d/144LMXrj0wIXMBwwsGBvArgz2umR... (document contains links to full texts of my papers and my blog)
email: john j vickers a-circle gmail
I'm an astronomer with 12 years experience with the full lifecycle of data collection -> collation -> cleaning -> exploration -> analysis (classification and outliers are my strong points, decent at bayesian modeling / fitting) -> visualization / interpretation -> publication. Looking to get into data science, need work on skills with cloud infra (aws, azure), production quality code (version control, complexity, automated pipelines). Interested in recommenders and model optimization problems.