Zachary Ernst Email & Phone Number

San Francisco, Ca, Us

Part of the anomaly detection team, investigating methods for making cloud infrastructure more predictable and resilient.

I help organizations formulate and implement the right strategy to take advantage of their data. Technical solutions are important, but most of all I help companies adapt their organizations and processes to support their data science efforts. My work emphasizes delivering incremental value while laying a sustainable foundation for transforming the business over the long term.

Medford, Massachusetts, Us

Chicago, Il, Us

Founding member of new machine learning team, responsible for building the team of machine learning engineers and data scientists. Architected and led the implementation of the ClearAI Platform, which enables rapid prototyping, development, and deployment of machine learning models. The design is a combination of a Neo4j knowledge graph for data integration, Kafka for rapid ingestion and updating of data in real-time, and Kubernetes for scale and resilience. The ClearAI Platform is now a customer-facing product (http://clearcover.com/ai) offered by Clearcover.

Global, Gb

Led data architecture, ETL efforts, and infrastructure deployment for client projects. Worked with data scientists and stakeholders to rapidly prototype and deploy high-impact machine learning models under demanding time constraints. Trained new data engineers and data scientists on fundamentals of software engineering, Python, collaborative development with Github, PySpark with DataBricks, and McKinsey's home-grown ETL framework, Kedro.

Chicago, Il, Us

Led a new team charged with implementing a data lake project. Helped design and implement modernization of Civis's ETL pipelines and management of core data assets that form the basis of Civis's data science efforts.

Chicago, Il, Us

Worked on design and implementation of new data architecture for the company, with emphasis on enabling data science efforts.

Chicago, Il, Us

I work on a cross-disciplinary team applying machine learning and data analysis to major business needs, especially in customer relationship management. My responsibilities range from exploratory data analyses and development of machine learning models to affect KPIs, to developing the software infrastructure necessary to accelerate our data science pipeline.

Chicago, Illinois, Us

I developed custom code solutions and data analytics algorithms for Narrative Science, which transforms quantitative data into natural language reports. I have contributed to projects for a variety of Fortune-100 clients from industries including finance, technology, retail, and professional sports, as well as the United States intelligence community. Experience with a wide range of technologies, including SQL, MongoDB, Elasticsearch, Neo4J, and many scientific and machine learning libraries. Projects have involved natural language processing, sentiment analysis, and several machine learning techniques.

Expert in logic, game theory, decision theory, and formal methods. Taught upper-level technical courses and published numerous research articles in peer-reviewed journals.

Designed and implemented pilot project for analyzing unstructured news data to identify emerging disease threats. Wrote report on viability of expanding pilot program to a large-scale production environment. Presented findings at 2012 World Congress on Risk (Sydney, Australia).

University, Ms, Us

Research relating to intelligence analysis for the Defense Intelligence Agency, grant-writing, teaching. (one-year position funded by federal earmark)

Taught and conducted research in philosophy of science and formal methods

Lemont, Il, Us

Conducted research into application of automated reasoning techniques to the discovery of proofs and models from various logical systems. Solved several open problems resulting in several peer-reviewed journal articles.

Phd, Philosophy/Logic

Ma, Philosophy