Kevin Coyle

Kevin Coyle is a Data Scientist with a passion for building community and tackling challenging problems in the fields of machine learning, deep learning, and natural language processing. He is keen on applying his expertise to address the issue of unmet legal representation.

Kevin's Data Science skills include Python, PostgreSQL, Machine Learning, Data Visualization, Web-Scraping, Selenium, AWS Suite (EC2, S3, Lambda), Docker, NLP, Statistics, Linear Algebra, NumPy, scikit-learn, Django, Flask, keras, TensorFlow, API, Apache Spark, word2vec, Seaborn, Bokeh, Pandas, SciPy, redis, MongoDB, Luigi, Airflow, Kafka, and Snowplow.

Moreover, Kevin possesses additional skills in Salesforce Marketing Cloud and Microsoft Office Suite. In the legal domain, he is knowledgeable in Intellectual Property, Trademarks, Patents, Civil Litigation, and Trade Secret.

Kevin's educational background includes a Data Science Immersive program at General Assembly, a Certificate in Paralegal Training from UCLA Extension, and studies in Political Science at both Sonoma State University and San Joaquin Memorial High School.

Professionally, Kevin has held roles such as Technical Curriculum Developer at Databricks, Co-Founder of nPassim, Founder of winosaurus, Data Science Instructor at General Assembly, Senior Data Scientist at Capgemini, Chief Data Scientist at De Novo, and positions in various data-centric roles at companies like ALO Yoga, TestLoop Inc., and LegalZoom.

Kevin has also served as a Data Science Teaching Assistant at General Assembly and gained experience as an IP Clerk at SHERMAN IP LLP and as a Litigation Paralegal at Lawrence & Associates.