Srikanthudu Avancha

Technical PM & SA Analytics at Verizon
📚 Tech PM & SA Analytics | New York, New York, United States
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S9-092024-0305962
1 Publications
0 Followers
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2 Questions

👤 About

Skills & Expertise

Machine Learning Tableau SQL PL/SQL Data Analytics Artificial Intelligence SDLC project management Oracle Information Technology Program Management SQL Server Business Analysis Project Management Big Data Troubleshooting MS Project JIRA Customer Satisfaction Service Delivery Budgets Data analytics Technical Support Team Building Business Process Client Services Vendor Management Software Development Life Cycle (SDLC) Ticketing Systems Team Motivation Service-Level Agreements (SLA) Business Intelligence (BI) Workday HCM Workday Integrations workday HCM IT Service Management Reporting Solutions ITIL Standards Client Engagement Tableau 2023.X AYS Chameleon

Research Interests

Project management Troubleshooting Data Analytics Business transformation & change management Service Delivery computer application Cross-functional Team Leadership Solution Architecture Enterprise Applications Dashboard Development Reporting Solutions Cost-Saving Initiatives Vendor Relations Business Transformation ITIL Standards SLA Management

Connect With Me

💼 Experience

Technical PM & SA Analytics

Verizon · January 2016 - Present
  • Experienced in Data Analytics and Leading Teams that build Dashboards, Reports that will give meaningful insights into transforming data into business value

🎓 Education

Bharathidasan University

Master of Computer Applications in Computer Applications · 2000

🏅 Certificates & Licenses (1)

Certified Scrum Master (PSM I)
Event: Certified Scrum Master (PSM I) · Scrum.org · Issued on

📚 Publications (1)

Journal: International Journal of Research in Modern Engineering & Emerging Technology • February 2023
The adoption of machine learning (ML) algorithms is transforming supply chain management by enabling businesses to enhance efficiency, accuracy, and decision-making. This paper explores the applicatio...
Machine learning Supply chain optimization Demand forecasting Inventory management Route planning Predictive models Reinforcement learning Real-time data analytics Anomaly detection Supplier evaluation IoT integration Dynamic pricing Cloud platforms Operational efficiency Risk management Sustainable growth
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