Glenn Miers Email & Phone Number

Us

Working on development of advanced analytics.

Boulder, Colorado, Us

-Completed over 400 hours of hands on and classroom training in statistics, machine learning, data gathering and cleaning, text analytics and processing, and database management.-Created online fraud monitoring tool using ScikitLearn and MongoDB in Python to accurately predict fraud in from an online event coordination site.-Created Python software to correctly predict churn in complex ride-sharing data using AdaBoost.-Created random forest using ScikitLearn to predict pricing trends in heavy equipment auction data.-Wrote software to perform K-Means clustering and random forests in Python.-Created web scraping utility using Python and MongoDB to pull data voting data from congress.gov website.

-Completed over 50 hours of courses on R and Python programming.-Sharpened skills in machine learning and SQL through over 100 hours of independent study.-Created neural network software in C++ using BLAS. -In top 4% of almost 640,000 competitors on projecteuler.net, an online programming competition site, having solved 65 computational problems in C++ and Python.

Houston, Texas, Us

-Created algorithms, software, and documentation for several major R&D projects.-Saved four months of processing time by creating simulation method for a large (~50Tb) data set.-Led cross-functional teams of analysts and developers on applied research projects.-Created a method to re-construct previously unattainable data in collaborative research with a major oil company. -Regularly presented research results to internal and external stakeholders.-Created previously unseen image of seabed using new imaging technologies with a challenging data set from southeast Asia in a cross-functional research project.-Defined quantitative and qualitative research tasks for two interns in successful research projects.-Created a framework to generate of large amounts of simulated data that could be used for testing of new algorithms and QA of existing software.-Performed all installations and software modifications for several complex, Linux based data processing packages from university research consortia for use with local system.-Taught students from around the world the central concepts behind regression, predictive modeling, data cleaning, and data imaging.

Houston, Texas, Us

-Saved three months and almost 50Tb of disk space by supervising the design and creation of software to forward model collected data at future times.-Invented new correlation based noise attenuation method that removed 99% of noise in a seismic data set. This was implemented across several major projects at a large oil company.-Improved usability regression based filter design program to match user expectations, and automate key workflows. Maintained all code and documentation for this software.-Subject matter expert in data simulation, and process development and testing on simulated data.-Mentored over 20 different junior engineers to properly perform data analysis and processing.

Houston, Texas, Us

-Project lead for several large data processing projects, including data cleaning, and imaging.-Project lead for several automatic feature extraction projects that were used for earth modeling.-Led several teams performing manual feature extraction on complex data.-Project lead for all time processing for data set from Abu Dhabi. Work included data cleanup, analysis, interpretation, and imaging. Project was delivered on time, and under budget.-Trained many junior engineers how to perform all aspects of seismic data analysis and processing.

Data Science Fellow, Data Science

Masters, Mathematics

Bs, Chemistry