Uma Babu Chinta

Manager Software Application Development at Workday
📚 Manager Software Application Development | Sunnyvale, California, United States
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👤 About

Skills & Expertise

Machine Learning COBOL JavaScript Java Oracle HTML J2EE Servlets Java Script JDBC Salesforce Mainframes Xml Windows NT Java Beans DB2 Apttus CPQ Marketo APEX SOQL JCL MQSeries JRUN IBM WebSphere COBOL370 VSAM SQLMP VS-Cobol II IDEAL DataCom JSP 1.2 Salesforce Force.com IDE Data Loader VisualForce

Research Interests

Management Web Services Quality Assurance Risk Management Business Administration Project Planning Management stakeholder management Performance Management Team leadership quality assurance Solution Architecture Dynamic Pricing Revenue Management Apex Programming Salesforce CRM Apttus CPQ Apttus RevRec Agile SDLC Platform Stability

Connect With Me

💼 Experience

Manager Software Application Development

Workday · July 2019 - Present

🎓 Education

Fakir Mohan University (FM University)

Ph.D. in Management · 2012

🏅 Certificates & Licenses (1)

Machine Learning Engineer
Event: Machine Learning Engineer · Cornell University · Issued on May 2024

📄 Peer-Reviewed Articles (30)

As mobile applications become more widespread, the risk of malware threats has also escalated, creating an urgent need for more advanced detection techniques to protect both user data and system...
This report emphasizes on explaining the blockchain technology & its application fieldsand its impact on business as blockchain technology is focused around a peer-to-peer network, allowingpoolingamongtwo or more parties, the...
In the rapidly evolving landscape of marketing, the integration of Customer Data Platforms (CDPs) with Artificial Intelligence (AI) technologies has garnered significant attention as a promising avenue for enhancing customer...
This empirical study investigates how Millennials and Generation Z view ChatGPT and its advantages. We employed mixed-methods research techniques to gather information about the understanding and usage of ChatGPT among...
This paper investigates the application of CodeBERT, a pre-trained transformer model, to improve the detection of vulnerabilities in smart contracts. Smart contracts, while central to blockchain technology, are susceptible to...
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