Current Client:• Developing repeatable programmatic analytic solutions to create various data reports and visualizations to present to management• Advancing the capability of my team’s application with 3000 active users by implementing machine learning solutions• Building object detection models that are deployed in a separate proprietary application• Working with adjacent teams to deploy their computer vision models and understand their needs of our application• Utilizing Python, SQL, Matplotlib, Postgres, ElasticSearch, Kibana, PyTorch, TensorFlowPrevious Client:• Creating machine learning/analytic solutions that help groups of analysts make better informed data driven decisions• Developing natural language processing (NLP) models to classify sentiment of text• Building tabular sets of data that are used to create visualizations for our clients to analyze• Migrated previous code base developed using a functional programming paradigm to an object-oriented paradigm to aid in encapsulation, reusability, upgradability, scalability, and flexibility of the project• Develop documentation for code base as well as environment usage• Participate in bi-weekly meetings with clients to receive feedback on solutions and better understand their needs• Utilizing Python, Scikit-Learn, Dask, Matplotlib, PyTorch, TensorFlow, Keras, Anaconda, Linux, Git

• Worked on a software engineering team adhering to agile principles and processes• Our work focused on the development and deployment of machine learning and deep learning applications in support of different groups throughout our customer's organization• Participated in weekly meetings with these different groups to sync ideas and better understand their goals from a customer aspect so that we as a team could tailor our solutions to fit their needs• Utilized Python, Java, Scikit-Learn, PyTorch, TensorFlow, Keras, Git

• Worked in two agile software development teams to create a data analytics tool as well as a network security parser • Utilized Apache Accumulo, Apache Spark, Apache Kafka, Elasticsearch (ELK) stack, Kibana, Microsoft Cognitive Services, Python, Java, AngularJS, Node.js, Git