Dipl.-Ing. Andrey Efremov

- Hilfe für Großkunden Ihre technische - sowie geschäfts - Ziele zu erreichen - Lösung & Optimierung von komplexen technischen Probleme rund um das Thema Netzwerk & Umfeld - Ich nutze Lösungen von verschiedenen Vendors um die beste Ergebnisse zu erreichen

As part of the Aruba organisation, I am building&selling the best WLAN/Campus networking solutions, extending the Intelligent Edge with a focus on a German market in a DACH region.

Building&selling the best DC networking solutions with a focus on a German market in a DACH region.

Data Center Networking in EMEA. As part of the EMEA organization I am responsible for building&selling DC networking solutions across the CEE & Russia region. Also, as part of my role I am actively involved in a technical cooperation with the best solution partners delivering cutting edge networking solutions in Data Center, such as Arista, BigSwitch Networks, etc.

As part of the EMEA/CIS organization I am responsible for building&selling Campus networking solutions across the CIS region & russian speaking markets. I am actively supporting smb & big customer projects, providing complex technical solutions to fulfill technical & business requirements to banks, service providers, big hotel chains, oil companies etc.

Key Highlights: • Opportunity assessment, deal qualification and project follow-up with the sales teams and HP partners throughout EMEA • Consulting in networking technologies and architecture (explaining different networking technologies to different audiences) • Network technical solution development & solution presentation for the potential customer • Creating and delivering design documents • Training for internal sales teams & potential partners (face-to-face & virtual)

I conducted a feasibility study for the liquids deposition process as well selected an interface in C# to control the micro-drop device.

An online program developed by a leading Harvard Business School faculty and delivered in an active learning environment based on the HBS signature case-based learning model.