Hamad AlMarzooqi, PMP®

• Spearheaded the preparation, evaluation, and execution of Power Purchase Agreements (PPA) for large-scale renewable energy projects, ensuring optimal financial and operational outcomes. •Led the development and evaluation of Independent Power Producer (IPP) tenders and Request for Proposals (RFP), driving competitive and transparent bidding processes. • Managed IPP and Engineering, Procurement, and Construction (EPC) projects from tendering to commercial operation, contributing to Dubai’s Clean Energy Strategy 2050. • Played a pivotal role in stakeholder management, coordinating communication between DEWA, IPPs, and government authorities to streamline project approvals and execution. • Successfully facilitated the commercial operation of mega solar PV projects, including Phases 2 (200 MW), 3 (800 MW), 5 (900 MW), and 6 (1,800 MW) of the Mohammed bin Rashid Solar Park. • Directed the planning and execution of innovative projects such as the Floating PV Pilot and small-scale solar installations like DEWA Parking Lot Solar. • Conducted bid evaluations and ensured comprehensive compliance with regulatory and financial requirements for large-scale renewable projects. • Monitored and analyzed solar energy generation data, reviewed invoices, and ensured the accuracy of financial settlements with IPPs. • Represented DEWA at prominent exhibitions and forums such as WETEX and WFES, showcasing Dubai’s leadership in renewable energy projects. • Witnessed Factory Acceptance Tests (FAT) for critical equipment to guarantee quality and reliability in plant operations.

Under Business Development & Excellence in special projects, part of Mohammed Bin Rashed Solar City projects

Propulsion Engineer

NSOP (NanoSatellite Outreach Program)

The Master of Science in Professional Studies with a specialization in Data Analytics at Rochester Institute of Technology (RIT) is an interdisciplinary program designed to equip students with a robust understanding of data science principles and practices. The curriculum covers key areas such as statistical analysis, data mining, machine learning, and data visualization. Students gain hands-on experience with industry-standard tools and technologies through real-world projects, enhancing their ability to derive meaningful insights from complex data sets. The capstone project, a key component of the program, allows students to apply advanced analytics techniques to practical problems, providing actionable insights. The program also emphasizes collaboration, with opportunities to work closely with peers and engage with industry professionals through guest lectures, workshops, and networking events.