• Design, Development, Deployment, Maintenance, and Training of enterprise-level R & Python-based AI-driven Data Applications.
• Building GenAI tools to help with SAS to R Migration and Training.
• Automating the code translations, conversions, corrections, and validation pipelines.
• Supporting and training the IT staff as an Admin to build R infrastructure to support FDA and CRAN R submissions.
• Scripting Standard Operating Procedures and Guidelines.
• Supporting the Open Source Application development and related infrastructure setup initiatives.
• Design, Development, Deployment, and maintenance of Enterprise Applications.
• Design, Customization, and Integration of Widgets for amping the Shiny App UI interactions.
• Developing Modular and functional R functions to help with Data wrangling.
• Revamping automated testing protocols to bring higher efficiency.
• Packing, deploying, and implementing Shiny applications.
•Develop, maintain, and enhance GIS applications using ESRI technologies.
•Write clean, efficient, and well-documented code in JavaScript, R and Python.
•Collaborate with cross-functional teams to design and implement geospatial solutions.
•Troubleshoot and resolve technical issues in existing GIS applications.
•Stay current with the latest ESRI technologies and best practices.
•Participate in code reviews and contribute to the improvement of development processes.
•Provide technical support and guidance to end-users as needed.
•Train the SAS analyst workforce to adopt Opensource R and Python working environment.
•How to write clean, efficient, and well-documented code in R and Python.
•How to Collaborate with cross-functional teams on a R and Python fuelled projects.
•How to Troubleshoot and resolve technical issues in Open Source Code Stacks.
•How to do code reviews and contribute to the improvement of development processes.
•How to provide technical support and guidance to end-users as needed on R and Python projects.
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