Capital One Services, LLC

Angelina Huynh

Joshua Meyer Wilbur

Lingyu Chu

Naveed Khan

Victor Raul Lopez Vargas

Maria-Andrea Gerling-Ospina

Beth Shoup

Michael Keating

Erin Ruppert

Nicole M Weaver

Merin J Samuel

Cara Jo Rawls

Troy Friedlander

Jacob Vernon Theodore Yingling

DiAndrea Kessee

Narayana Rao Pagolu

Rui Zhang

Diandrea Kesse

Narayana Roa Pagolu

Alexa Choi

Rachel Johnston

Shweta Jadhav

A system for providing notifications to client devices that includes one or more processors and one or more storage devices. The storage devices may store instructions that, when executed, configure the processors to perform operations. The operations include receiving a transaction notification from a third party; identifying a user account associated with the transaction notification; generating a push notification with a payload describing instructions to display a message and an interactive icon, and a resource identifier associated with the interactive icon, where the resource identifier includes a message ID encoding an interactive session and an action ID encoding a requested action. The operations also include transmitting the push notification to a client device associated with the user account; receiving a first indication indicating a user interaction with the interactive icon, the first indication having the resource identifier and updating the user account based on the action request.

Systems and methods for providing notifications to devices

A system for providing software development performance predictions is disclosed. The system can include one or more processors and a memory in communication with the processors storing instructions that, when executed by the processors are configured to cause the system to perform method steps. The system can receive data associated with a plurality of completed projects and a request for a new software development project. The system can determine first metrics associated with each completed project and second metrics associated with the new software development project. The first and second metrics may be associated with one or more predictive variables. The system can define predictive model systems based on one or more predictive variables and identify completed projects including a first subgroup of first metrics that match the second metrics beyond a predetermined threshold. The system can determine a performance prediction based on the identified first subgroup of first metrics.

Systems and methods for providing software development performance predictions

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Reston, VA, United States of America

Angelina Huynh