Zane Dennis Email & Phone Number

Nashville, TN, US

Nashville, Tennessee, United States

Nashville, Tennessee, United States

Evaluated efficacy of TennCare (Tennessee Medicaid) mental health initiatives by building machine learning models (gradient boosting regression, lasso and ridge regression, SGD linear regression) using Python (pandas, numpy, sklearn) to estimate effects on patient outcomes. Found strong evidence that TennCare initiatives were contributing to positive.

New York City Metropolitan Area

Increased team productivity by creating and pushing to production Python scripts to interface with Appen and Google Sheets APIs to automate and optimize annotation consensus and reporting workflow. Annotated datasets for Company Standardization team, ensuring a high quality of data for engineers and customers.

“Interpretable Tensor Factorization Methods for COVID-19 Progression Analysis” with Dr. Elena Sizikova.

New York, New York, United States

Greater New York City Area

Enabled law researchers to apply existing trademark depletion analysis scripts from US data to EU data by creating pipelines using multithreaded Python to automatically acquire, clean, reformat, and store large amounts of highly complex JSON format EU data into desired CSV format

Remote

Continued development of NLP tools for back end of PubQC project. Part-time remote position.

Oklahoma City, Oklahoma Area

Designed and developed an NLP tool to extract confidence interval information from scientific article text for in-development PubQC software project.

Waco, Texas Area

Taught sessions twice weekly working with students to apply lecture material to real problems; also held regular office hours

Waco, Texas Area

Graded student work and held office hours for summer Data Structures course taught by professor Matthew Fendt, PhD.

Waco, Texas Area

Worked on plant biotechnology project (details confidential) in lab directed by Chris Kearney, Ph.D.

Waco, Texas Area

Taught sessions twice weekly working with students to apply lecture material to real problems; also held regular office hours

Oklahoma City, Oklahoma Area

Designed and developed an algorithm to assign sex, age, and tissue of origin labels to samples in GEO database from plaintext metadata (work was integrated into paper “ALE: automated label extraction from GEO metadata” published in BMC Bioinformatics)

Waco, Texas Area

Assisted research team in lab directed by Chris Kearney, Ph.D.

Tulsa, Oklahoma Area

Master'S Degree, Data Science

B.S.I., Bioinformatics

Activities and Societies: Baylor Men's Choir (August 2014 - December 2015) Baylor Running Club (February 2015 - May 2017) Christian.

High School Diploma