Summary
Chris Falter is a Data Scientist and Machine Learning Engineer with roughly a quarter century of software engineering and architecture experience and nine years focused on data science. He combines deep hands-on skills in Python, PySpark, TensorFlow/Keras, scikit-learn, and NLP techniques with enterprise search technologies like Elasticsearch and Solr, and is comfortable across cloud platforms (GCP, AWS) and the Hadoop ecosystem. At Booz Allen Hamilton he mentors data science learners while delivering large-scale analytics for government systems, blending strong software craftsmanship (TDD, design patterns) with production ML deployment. His toolset spans many languages (Java, Scala, C#, R, C++) and shows a pragmatic ability to bridge legacy and modern stacks—an asset for complex, mission-driven analytics programs.
9 years of coding experience