Alexander R. Kahanek
alexanderkahanek@gmail.com | GitHub | LinkedIn
Employment
Always Open
Data Science Consulting
- Rubbish, co.
Utilized Clustering Analysis to find insights into littering during events (Startup Grind 2020) and provided feedback on data-collection methods to improve data quality for future Machine Learning and Business ventures.
Built a data-oriented dashboard, as a R Shiny Web Application, to display a community led trash cleanup of SoMa West, CA. The dashboard was used by the city government to restructure their cleanup procedures.
2020-Curr
Machine Learning Researcher
- University of North Texas
Currently working with Twitter data to analyze sentiment and topics of racists tweets revolving around COVID-19, utilizing state-of-the-art Natural Language Processing techniques and models.
Developed generalized methods to improve Morphological Inflection in Low-Resource Languages, utilizing data manipulation. These methods improved the accuracy of Deep Learning Neural Network predictions by 5%.
2012-18
Health Care Specialist (68W)
- United States Army, National Guard (MA, TX)
Spearheaded a team of 15 people, that reduced response time by 50%, for the East African Response Force.
Worked in trauma-based and clinical medicine, treating thousands of patients, and defining medical procedures.
Publications
Kahanek, A., Yu, X., Cleveland, A., Philbrick, J., & Hong, L. Temporal variations and spatial disparities in public reaction towards COVID-19 and CDC guidelines in the United States. (Submitted to Journal of Information Science)
Programming skills
Python = [PyTorch, Keras, TensorFlow, Scikit-Learn, spaCy,
numPy, Pandas, Matplotlib, GeoPandas, Gym]
R <- c(
Tidyverse, RandomForest, GGplot2
,Plotly, Highcharters, Shiny, Caret
)
std::string others[8] = {"C", "C++", "Elixir", "Phoenix",
"SQL", "JS", "CSS", "HTML"};
Areas of Expertise
Education
2018- December 21
University of North TexasB.S. Data Science, Minor in Mathematics, Statistics Certification
Current GPA: 3.9
Contact Links
alexanderkahanek@gmail.com | Personal Website | GitHub | LinkedIn