Jorge Neyra

Jorge Neyra is a skilled professional with a strong background in machine learning, database management, cloud computing, client-side and server-side development, and DevOps.

In terms of machine learning, Jorge has hands-on experience in training traditional and deep learning models for chemical activity prediction, utilizing tools like Azure machine learning for automation, and developing web APIs for model deployment.

He is currently pursuing a Master's degree in Data Science and has a solid grasp of essential concepts such as linear regression, classification, neural networks, and uses popular Python libraries like numpy, scikit-learn, pandas, matplotlib, tensorflow, keras, and pytorch.

In the realm of databases, Jorge has intermediate skills in SQL querying and SQL Server management.

His expertise extends to cloud services, where he is very comfortable with the Azure environment, has deployed various applications, worked with Azure cognitive services, Azure ML, and handled basics like storage (Blobs) and database hosting (SQL).

Jorge possesses significant experience in client-side development, working with technologies like AngularJS, Angular, JavaScript, Typescript, Gulp, and Webpack, along with various JavaScript libraries.

On the server-side, he is proficient in Python Flask, ASP.NET, ASP.NET Core, .NET Web API, C#, Entity Framework, OWIN Oauth, and has basic Node.js knowledge for setting up web servers.

In the DevOps domain, Jorge can set up continuous integration for web applications on Azure using Kudu and has a beginner-level understanding of containerization with Docker.

Education-wise, he holds a Bachelor's degree in Global Business and Public Policy with a minor in computing from the University of Maryland Global Campus, and is currently pursuing a Master's degree in Data Science at the University of Maryland Baltimore County.

Jorge's past roles include being a Machine Learning Engineer at Somatus, a Developer at Axle Informatics, 3Advance, and IT Purchasing Agent at Westat (Quadrant), Sr. Technology Purchasing Analyst at Marriott International, and Business Services Assistant at BB&T.

He is primarily seeking opportunities in the field of machine learning and data science, particularly interested in roles that align with his expertise and preferably within a remote or mostly remote setting.