NAGAVENI ANNAPPA

• Guiding R&D Product strategy with data-driven insights and foresight.
• Developing and attracting top data science talent to fuel the future of the company.
• Promoting open collaboration and thought leadership in the data science community.
• Driving innovation through AI-powered solutions that solve critical business problems.
• Champion a data-driven culture within VMware R&D, empowering researchers and engineers.
• Constantly learning and exploring new ways to leverage Product Telemetry and Customer 360 to unlock even greater potential.
• Brainstormed and developed sales strategies to achieve short and long term sales revenue objectives.
• Examined quarterly financials to determine business operating capacity.
• Conducted performance evaluations, compensations and hiring to maintain appropriate staffing requirements.
• Leveraged data and analytics to make informed decisions and drive business improvements.

Projects: Product Consumption || SaaS ARR / MRR Metrics || SaaS Transformation || Customer Retention and Churn || NLP || Data Engineering

• Lead and manage high-performing teams of data scientists and analysts
• Translate business challenges into actionable data science projects
• Communicate complex data findings and recommendations effectively
• Align data science efforts with overall business objectives
• Stay ahead of the curve in the evolving data science landscape.
• Cross-trained existing employees to maximize team agility and performance.
• Monitored and analyzed business performance to identify areas of improvement and make necessary adjustments.

Projects: Customer Analytics || Customer 360 || SaaS ARR / MRR Metrics || Customer Health Score

• Advanced analytics and machine learning: Lead the development and implementation of Machine- learning models, statistical analysis, and other advanced analytics techniques to solve complex business problems.
• Mentoring and coaching: Guided junior data scientists, analysts, and engineers, fostering their technical and professional growth.
• Project management: Lead data science projects from ideation to implementation, managing timelines, resources, and budgets.

• Prepare data for analysis using SQL or domain specific tool (example: Omniture for Digital), visualizing
• The data and executing to specifications
• Good knowledge of databases/SQL, relevant tools like R or Python, Alpine Data Labs
• Grasp requirements on call and deliver to specification, Present to Senior Management
• Present findings to team lead/managers and to external stakeholders
• Drive stakeholder engagements by driving complex analytical projects
• Develop Executive Presentations with guidance.
• Prototype reports and dashboards to get users engaged and excited about BI solutions.
• Create in-depth business requirements across a variety of business functions, such as Finance,Sales, Professional Services, Global Support, Marketing, HR, and Legal
• Perform current state to future state detailed impact analysis activities to provide input to BI datamigration strategy and recommended end state solution.
• Active participation in the development of a data warehouse and subsequent reportingenhancements, including the creation of new reporting templates and analytical reports.

• Ensure the timely and accurate generation of all corporate internal reporting, consistency and standardization amongst the various types of reports and databases and manage the various reporting tools
• Analyse, interpret and report operational performance trends from various channels & departments, identifying areas performing outside of expected results
• Develop efficiencies to increase the effectiveness of reporting and consolidate & maintain departmental reports used internally and externally such as to other departments, senior management
• Develop and maintain new standardized metric reporting on a routine basis, i.e., define, create, automate, and maintain operational cyclical reporting
• Manage and own the reporting project management process to identify the needs, document requirements and obtain sign off from owner and coordination with Enterprise Data for implementation
• Perform ad hoc duties in accordance to business needs.

• Analyse performance metrics Agent wise/Process wise/Team wise
• Designing Query using Brio to extract the report from Oracle and SQL Database
• Designing and analysing various reports, for operations
• Publishing weekly and monthly Scorecard
• Maintain SharePoint's and several databases for reporting purpose
• Working and Identification of Root Cause problems affecting Metrics
• Frequent interaction with customers and / or functional peer group supervisors
• Publishing end-to-end Billing reports for the Asia pacific Region
• Adhoc requests for operations or program team.

• Technical Support Engineer with accounts management team specifically designed to provide a single point of contact for managing hardware and software contract
• Responsible for Monitoring the case proceedings until completion, providing appropriate status updates back to client personnel
• Escalations, when required, are initiated proactively or at the request of the client Support professional.

• Process Type: Sales, Education & Job Verification