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Christian Leipski is a Senior Data Scientist at Helpshift, where responsibilities include creating an unsupervised text segmentation application to effectively manage unstructured messaging data and inform automation strategies. Prior experience at Helpshift includes contributing to Helpshift Predict, a multilingual text classification engine. Christian's background also encompasses a Data Science Fellowship at Insight Data Science, where a machine-learning model for predicting crop yields was developed. Previous roles include instructional technology development at ThinkTank Learning, Inc. and postdoctoral research positions at the Max-Planck Institute for Astronomy and UC Santa Barbara, focusing on active galaxies and the early universe. Christian completed a Ph.D. in Astrophysics and a Master of Science in Physics and Astronomy at Ruhr University Bochum.