● Built data pipelines using Python and AWS (AWS Firehose, S3 & Redshift) that moved millions of datapoints per day.● Implemented cheat/fraud-detection models that successfully detected cheaters in a population of hundreds of thousands of users using statistical techniques to detect outliers.● Optimized player matching algorithms with Scikit-learn, using machine learning techniques like logistic regression.● Created models that accurately predicted wait times for tens of thousands of players waiting to be matched in competitive games, using Numpy and Pandas.