Pete Ackley

Pete Ackley is a data scientist who currently works for TrueAccord. Pete has also worked for Morgan Stanley as a data scientist from August 2018 to February 2021. There, they were responsible for analyzing large datasets of client transactions using SQL, Hive, Impala, Python, Pandas, and Dataiku to identify patterns of fraudulent activity across multiple payment methods. Pete also developed logistic regression check fraud with Python, Pandas, scikit-learn, and statsmodels package that dramatically increased check fraud detection rate. In addition, they developed standard, generalizable methods for monitoring the performance of all binary classification models used for fraud detection. Furthermore, they oversaw changes to vendor-supplied data to ensure continued data quality and suitability. Pete also conducted statistical testing to satisfy in-house model certification requirements imposed by Model Risk Management. Lastly, they presented results of data analyses and recommended solutions to senior management. Prior to working at Morgan Stanley, Pete Ackley was a General Engineering Instructor at The University of Texas at Austin from January 2016 to August 2018.

Pete Ackley attended The University of Texas at Austin for their Master of Science in CSEM (Computer Science, Engineering, and Mathematics). Pete completed their B.S. in Aerospace Engineering and BS in Mathematics at Virginia Tech.

They work with Ashley Lee - Data Scientist, Anthony Johnson - Data Scientist II. Pete Ackley reports to Kyu Cho, Data Science Manager.