- Developed an application in Python using Flask to perform bulk CRUD operations on CNAME records- Utilized regular expressions to identify errors within CNAME records provided as JSON input prior to performing record operations and provided a summary of record changes following a file submission describing successes and errors- Successfully containerized and deployed the application through Docker and Kubernetes and implemented mTLS- Presented project and its future steps, uses, and benefits three times to team, other managers, and directors

- Transcribed and annotated 18 files with over 4 minutes of speech each to analyze the language differences of those with ASD and the influence of Zoom on politeness, uncertainty, and informativeness under Prof. Prud’hommeaux- Created a program to calculate Cohen’s Kappa, a measure of agreement between annotations on categorical data, using Pandas and Scikit-learn to efficiently compare annotators’ work instead of manual comparison- Developed a program using Matplotlib to generate several bar charts depicting comparisons between language used in different tasks and in person versus on Zoom to test hypotheses about how environment changes language use- Taught a research assistant the transcription and annotation process and provided advice on improving efficiency

- Configured and trained the GlowTTS text-to-speech model from CoquiTTS on the LJSpeech dataset- Analyzed the program using graphs from TensorBoard to determine the effectiveness of more than five different settings of batch sizes and loader works during training and evaluation across metrics of loss and accuracy- Wrote a report suggesting improvements to the configurations tested and to the setup of the computer used in order to maximize the accuracy and efficiency of the trained model with respect to the limitations of the hardware