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
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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
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Gave a presentation on the basics of machine learning at an in-company tech salon
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Became proficient in data retrieval via ArenaETL, data manipulation/feature engineering using Apache Spark
