Moritz Steller

• Architecting full lifecycle capabilities for Unified Analytics Cloud Platform • Leading ML strategy, data science, and advanced analytics efforts for enterprise government customer • Leading, implementing, and developing end-to-end Deep Learning, NLP/NLU, and traditional Machine Learning solutions, Business Intelligence capabilities, and dynamic visualizations following DataOps, MLOps, and DevOps best practices • Leading long-term ML efforts in Strategic Innovation Group

• Architecting and building Data Science/Machine Learning infrastructures, solutions, pipelines and models by implementing engineering patterns, automated workflows, autoML techniques for predictive analytics, statistical analytics, NLP, and machine learning engines • Leading initiative of designing, architecting, and implementing enterprise cloud-based machine learning platform (Healthcare, Medical, Finance) • SME and solution lead for overall ML and analytics strategy

• Enabling advanced data analytics, ML, and BI by implementing NLP models, matching/distances models (cosine, Jaro-Winkler, Levenshtein), classification models (xGBoost), data visualization, pattern discovery (kmeans), and EDA • Defining, designing, modeling, implementing, and operating large, evolving structured and unstructured datasets in a multi-terabyte DW • Designing, and implementing architectural improvements including process automation utilizing Jenkins, optimizing data delivery

• Fulfilling responsibilities of a Teaching Fellow for Database and ML courses including teaching sessions • Providing concepts of architecting and developing end-to-end analytics solutions