Data science can yield valuable insights about business processes that can be used to make profitable decisions. Using techniques from machine learning, math, and computer science, models can be created and scenarios can be tested and interpreted.
If you would like help gathering a dataset and analyzing the results to make decisions, please contact me.
Qualifications:
10+ years of python programming experience
M.S. Mathematics NYU
Software Languages and Packages:
shell; bash
R; shiny
Python; Sci-kit learn
Mathematical Tools:
Principal Component Analysis
Support Vector Machines
Random Forests