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Angelo C.

Principal Consultant at Evergreen Healthcare Partners

Angelo C. has a diverse work experience in various industries. Angelo started their career as a Research Assistant at Informatics Skunkworks @ UW Madison, where they focused on exploring uncertainty quantification methods for materials datasets. Angelo developed a clustering-based cross validation algorithm to improve regression models.

After that, Angelo joined Epic as an Orders Support Engineer and Cognitive Computing Success Owner. Angelo was responsible for developing and maintaining ML models, identifying data drift, and communicating model performance to stakeholders.

Later, Angelo joined 8x8 as a Software Engineer III in Professional Services Customizations and Integrations. Angelo worked on deploying cloud Java Spring Boot Microservices, developing custom integration solutions, and implementing AI Virtual Agents to automate workflows.

Angelo also worked at Nordic Global as a Senior Consultant in Advisory Services and at Evergreen Healthcare Partners as a Principal Consultant. Currently, they are an Investor at KA Realty Group.

Overall, Angelo's experience highlights their expertise in software engineering, data analysis, and consulting roles in various industries.

Angelo C. completed their undergraduate education at UC Irvine, where they pursued a Bachelor of Arts degree in Economics from 2015 to 2017. In the summer of 2016, they also attended The London School of Economics and Political Science (LSE) for their Summer School program.

In terms of additional certifications, Angelo obtained several certifications from Epic, including Epic EDI Bridges Interfaces, Epic Cogito Tools Administration, Epic Clinical Data Model, Epic Cogito, Epic Server Tech Camp, Epic Infection Control, Epic Inpatient Orders, Epic Order Transmittal, Epic SQL Caboodle Data Model, and Epic SQL Clarity Data Model. These certifications were obtained between 2018 and 2023.

Furthermore, Angelo obtained two certifications from Cognigy, namely the Cognigy.AI Developer Course and the Cognigy.AI Foundation Course in January 2023 and December 2022, respectively.

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