Divanshu Nijhawan

Currently leading the Midmarket growth engine for North America. I focus on building "Sales Talents"—combining elite talent development with the latest in AI-driven sales technology to drive predictable pipeline growth.

Pipeline Generation Client Profiling Sales Forecasting Quota Forecasting and achievement Connect, share, and partner with customers, identify and convert wireless and wireline sales opportunities Help customers by meeting and exceeding their needs. Be an expert with our product and services. Reconnect and follow up with customers to solicit feedback on sales; promote additional products and services that create value Partner with the team overall to create awareness of offerings. Build enthusiasm for wireless and encourage referrals

Solution Selling Stakeholder Management Performing Cyber Security Assessments New Initiative ownership Bill of Material Finalizing Partner Management Inside Sales Cloud Sales Product Sales (Azure- IAAS, PAAS, SAAS), MWP (Microsoft 365) Sales Forecasting Revenue Planning

Partner Development, Inside Sales, ISV Partner Recruitment, Azure Sales, Market Place Listing (Azure market Place & App Source, Partner Onboarding, Team Management

Managing daily rhythm of business Team Management Cloud Sales(SAAS,IAAS,PAAS) Solution Selling Pipeline Management Quota Forecasting Sales enablement Inside Sales Management Capturing voice of customer and sharing out with stake holders in order to improve Initiating sales process by prospecting, providing solution & finalizing opportunity

Proactively call new and existing clients to Renew accounts maintain & build relationships within the company Team Management Develop new contacts within your client base to spread awareness of our services. SAAS Sales Develop knowledge of products through internal trainings and conversations with clients Handle incoming client requests; problem solving as necessary Log and track opportunities and activities Contribute to internal discussions and brain-storming sessions

Proactively call new and existing clients to maintain & build relationships within the company Develop new contacts within your client base to spread awareness of our services. Develop knowledge of products through internal trainings and conversations with clients Research and understand each client's business to identify new opportunities Handle incoming client requests; problem solving as necessary Log and track opportunities and activities Contribute to internal discussions and brain-storming sessions Negotiate and renew client contracts to meet and exceed revenue goals

Providing Technical Suppot to Corporate user of a multinational company which is basically for US,UK & rest of the world .

Proactively call new and existing clients to maintain & build relationships within the company Develop new contacts within your client base to spread awareness of our services. Develop knowledge of products through internal trainings and conversations with clients Research and understand each client's business to identify new opportunities Handle incoming client requests; problem solving as necessary Log and track opportunities and activities Contribute to internal discussions and brain-storming sessions Negotiate and renew client contracts to meet and exceed revenue goals

Canada

This course provides a baseline understanding of common cyber security threats, vulnerabilities, and risks. An overview of how basic cyber attacks are constructed and applied to real systems is also included. Examples include simple Unix kernel hacks, Internet worms, and Trojan horses in software utilities. Network attacks such as distributed denial of service (DDOS) and botnet- attacks are also described and illustrated using real examples from the past couple of decades. Familiar analytic models are outlined such as the confidentiality/integrity/availability (CIA) security threat framework, and examples are used to illustrate how these different types of threats can degrade real assets. The course also includes an introduction to basic cyber security risk analysis, with an overview of how threat-asset matrices can be used to prioritize risk decisions. Threats, vulnerabilities, and attacks are examined and mapped in the context of system security engineering methodologies.