The Data Scientist and the Data Engineer should be Friends:
Becoming a data scientist and Providing the engineering support for a data science team
On Wednesday evening Carolyn Phillips and Alison Stanton will each speak about their work in data science. Join us to learn from Carolyn and Alison's experiences as well as to meet other Chicago-area women in data science!
About the Program:
Carolyn Phillips - Transitioning from an Academic to a Data Scientist at a Startup
Alison Stanton - DataOps: Supporting a Data Science Team
About the Speakers:
Dr. Carolyn L. Phillips is the Lead Data Scientist at Neurensic, a startup that uses machine learning to detect fraudulent and manipulative behaviors in the financial markets. Previously, Dr. Phillips was a staff scientist at Argonne National Laboratory in the Mathematics and Computer Science Division. Dr. Phillips’ research has focused on designing algorithmic solutions to find patterns in complex systems. Her research has covered topics from liquid crystals to superconductors, from nanoparticle clusters to quasicrystals, and from machine learning to study emergent crystals to algorithms for optimal filling shapes with overlapping discs.
As Chief Problem Solver at Stanton Ventures (http://stantonventures.com/?utm_campaign=alisonstanton.com) Alison Stanton focuses on business intelligence reporting, product measurement, process improvement through automation, and technical training. She makes data accessible, discoverable, and actionable for Operations teams, Product Managers, and clients. Currently, her main languages are SQL, Python, and LookML. She loves knitting and using technology to empower audacious ideas.