Moritz Steller

Angestellt, AI + Analytics Platform Architect/Data Scientist, Booz Allen Hamilton

Abschluss: Master of Arts, Harvard University

Austin, United States of America


Data Science
Data Warehouse
Machine Learning
Business Intelligence
Big Data
Data Analysis
Data Modeling
Data Engineering
Database Management & Reporting
Cube (OLAP)
Information retrieval
Data Architecture
Predictive Modeling
AI Microservices
Deep Learning
Natural Language Processing (NLP)
Natural Language Classification
Data Visualization
Unified Analytics
Machine Learning applications
Data Platform
Microsoft Azure
Time Series Analysis


Professional experience for Moritz Steller

  • Current 4 years and 1 month, since Sep 2019

    AI + Analytics Platform Architect/Data Scientist

    Booz Allen Hamilton

    • 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

  • 7 months, Mar 2019 - Sep 2019

    Senior Lead Data Scientist, Health AI + Analytics

    Booz Allen Hamilton

    • 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

  • 7 months, Sep 2018 - Mar 2019

    Senior Data Engineer, Population Health + Analytics


    • 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

  • 5 months, Aug 2018 - Dec 2018

    Teaching Fellow, Division: Harvard Extension School Fall 2018

    Harvard University

    • 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

  • 1 year and 8 months, Jan 2017 - Aug 2018

    Data Warehouse Engineer

    Marsh & McLennan Companies, Inc.

  • 6 months, Jul 2016 - Dec 2016

    Business Intelligence Developer I

    Trend Micro

  • 1 year, Aug 2015 - Jul 2016

    Quality Assurance Analyst

  • 6 years and 10 months, Sep 2008 - Jun 2015

    Information Specialist

    Central and Regional Library Berlin

Educational background for Moritz Steller

  • 2 years and 5 months, Jan 2017 - May 2019

    Management Information Systems

    Harvard University

  • 2 years and 9 months, Oct 2012 - Jun 2015

    Information science

    Humboldt University of Berlin

  • 2 years and 5 months, Sep 2008 - Jan 2011

    Information science

    OZS Berlin


  • German


  • English



Data Science
Machine learning
Deep Learning
Natural Language Processing (NLP)

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