• Label and analyze speech samples for different projects in the lab

• Became proficient in using Praat for linguistics analysis

• Trained a classification model using XGBoost that is currently being employed to perform bid request throttling by predicting whether a bid request would receive a response from demand-side platforms

• Began training a convolutional neural network using Python Tensorflow and Amazon Sagemaker to predict whether a bid request would receive a response based on the bidding seat

• Gave a presentation on the basics of machine learning at an in-company tech salon

• Became proficient in data retrieval via ArenaETL, data manipulation/feature engineering using Apache Spark