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Q&A With Michael Floyd

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Michael Floyd
Chief Software and Marketing Strategist, Transfyr
Location: Scotts Valley, CA United States
Joined: Feb 14th, 2022
About   (request update)
Education   (request update)
- College Not Listed - class of 2013
Undergrad Major: Mathematics
Washington Univ in St. Louis class of 2015
Grad Major: Statistics
Experience
I currently work with Transfyr as Chief Software and Marketing Strategist
I have years of experience working in the Computers, Software industry.
Mentor/Project Reviewer | Udacity
From March 2018 to Current • 8 year(s)
 Mentoring students in Machine Learning Engineering, Data Scientist, and Self-Driving Car Nanodegree programs.
President/Chief Software and Marketing Strategist | Transfyr
From January 2018 to Current • 8 year(s)
 Founded social platform Transfyr, developed front-end and back-end, implemented marketing strategies to attract users and media attention.
Graduate Research Assistant | Clemson University
From August 2018 to December 2018 • 0 year(s)
 Researched algorithms for Biomedical Data Science and Informatics, served as Senator Ambassador for BDSI program.
Data Scientist | DeepIQ
From October 2016 to January 2018 • 2 year(s)
 Processed sensor data from oil rigs, used ML/DL for predictive maintenance, created interactive visualizations for client demos.
Tutor | Wyzant
From December 2013 to October 2016 • 3 year(s)
 Tutored students in Mathematics, Physics, and Chemistry across multiple cities.
Teacher | Jefferson Parish Public School System
From January 2016 to May 2016 • 0 year(s)
 Taught Mathematics at Grace King High School.
Research Assistant | Washington University Division of Biostatistics
From September 2014 to December 2015 • 1 year(s)
 Analyzed genetic data for renal studies, performed quality control on exome chip data for multi-site research.
Biostatistician Intern | Washington University Institute of Public Health
From May 2015 to August 2015 • 0 year(s)
 Implemented parametric survival curves for medical expenditure data, developed bootstrapping methods for large-scale complex datasets.
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