Samy Merzgui

Member of the Strategic and Planning Analytics group as part of the Marketing Organization. Lead the team providing marketing budget strategy across Adobe’s Businesses, recommending to VPs/Execs the optimal marketing investment plan to reach financial targets globally, advising on a $300M+ budget generating $7.5B+ Gross New Revenue annually.

Manage Adobe’s Marketing Mix Model (MMX), used to optimize marketing investment globally Provide analysis to optimize marketing investments to reach financial targets for both Creative & Marketing Cloud globally. Share quarterly/yearly marketing performance forecasts and business insights from model with executives to refine marketing strategy and channel investments.

User Research Focus • Responsible of user research aimed at determining main user personas to consider when developing new features • Led competitive analysis to identify the types of potential competitors in the market for Sqor’s app and website • Developed business insights using Sqor’s user data to help understand users' behavior

• Conducted market research to identify potential customers, key players in the podcast market and industry dynamics • Developed model projecting the podcast market size and targeted market size

Product Manager on Adobe Media Optimizater (AMO, an ad-buying solution optimizing ad campaign on search, display, social) - Managed creation, planning, implementation, and testing of a product feature allowing advertisers to filter out the ad spaces in non-desirable websites from bidding process - Created and improved reports to provide relevant data to advertisers for their marketing decisions - Worked on adapting AMO to follow the frequent changes in the ad industry standards.

Management Consulting: core member of the Telecom, Media and Technology (TMT), Big Data, and Sustainability practice areas

Research organization at UC Berkeley focused on deploying transportation research to the industry • Implemented parallelization in the cloud of two projects: a real-time traffic estimator based on GPS data from mobiles; and a water quality visualizer in the Bay area. Improved system throughput by 4-8x, enabling real-time traffic forecast • Research resulted in a Master’s Thesis, a published paper and a presentation at the Berkeley AmpLab Retreat

Intern – Requirement Engineering Team, Software Engineering department • Developed a tracing model that synthesized technical requirements of a $100M industrial project involving engineer teams from Germany, Canada and U.S. Provided training and support for teams using specialized software DOORS

Technology and Innovation, Analytics

Internet Computing