Data Scientist II, CCC Information Services, Chicago, IL

• Predictive and prescriptive modeling with model deployment (Python, Java)
• Customer analytics and forensic analysis
• Workflow standardization and automation (Luigi, Airflow, Spark, Docker, Kafka)
• Data lake architecting on Amazon Web Services (AWS)
• Machine learning enablement on the cloud
• Data science model research and enhancements

Data Scientist I, CCC Information Services, Chicago, IL

• Predictive and prescriptive modeling with model deployment (Python, Java)
• Customer analytics and forensic analysis
• Workflow standardization and automation (Luigi, Airflow, Spark, Docker, Kafka)
• Data extraction, transformation, and loading (SQL)
• Image analysis, computer vision, and deep learning (OpenCV[Python], Tensorflow, Keras)

Lead Data Science Instructor, General Assembly, Chicago, IL

• Lead instructor for the part-time data science program (April’19 cohort)
• Taught data science topics including,
  1. data science workflow
  2. introduction to python programming
  3. python programming for data science
  4. statistics and linear algebra for machine learning
  5. supervised and unsupervised machine learning
  6. natural language processing

Informatics Researcher, Yale University School of Medicine, New Haven, CT

• Web scraping (Python) and API data collection (Twitter)
• Natural language processing
• Propensity modeling

Data Scientist, Digital Youth Network, Chicago, IL

• Customer analytics (R)
• User segmentation, behavior analysis, and trajectory mapping
• Customer retention/churn modeling
• Multi-stakeholder recommender system (perception)

Programming and Tools: Python, Spark, SQL, Java, R, Matlab, Git, Bash, HTML, Javascript, C++
Machine Learning: Scikit-Learn, statsmodel, TensorFlow, Keras, PyTorch, AWS SageMaker, MLlib