M. Marei

• Lead the development and launch of an AI-based solution for investor relations, leveraging latest AI and data technologies to perfection and market fit. • Securing marquee clients including top enterprise public companies and stock exchanges across the GCC and UK. • Formulate GTM & customer experience strategies to simplify investor relations and maximize value delivery to partners. • Ensure alignment between product features and market needs to facilitate seamless launch of key accounts in enterprise segment of investor relations that has resulted in 30% higher investor engagement. • Refine models to enhance performance, aligning with market needs and regulations.

• Co-founder and Freelancer @ Datanex.eu, a product and data management powerhouse, based out of Berlin. • Building finance and sales on-cloud intelligence and providing business insights using data science techniques and LLMs frameworks, such as Langchain. • Full and end-to-end execution and maintenance of products and solutions on AWS and GCP.

• Prioritized and executed EU optimization initiatives and product development in the transportation vertical. • Drove cross-functional data and finance products to optimize for cost while expanding EU fulfillment network coverage, collaborating with 8 carriers. • Actively drove investments in in-house data products such as order management system and invoicing, powered by agile implementation and external data models. • Conducted hands-on logistics network geo-expansion modeling with DS/ML teams.

• Reporting to the CFO office, owned the shipping cost line in Wayfair EU's P&L. • Led a team, managing payments operations (FinTech), reporting and pricing models within an agile environment. • Built business cases for Director-level committee on economy head-and-tail winds.

• Active stakeholder to the tech teams providing guidance on the business's needs to perform an effi�cient weekly ful�fillment and labor capacity planning, saving 50% of analysts' time. • Directly reported to senior leadership, ensuring daily parcels’ effi�cient logistics �flow, labor capacity control, facility capacity measuring and bottle-neck solving. • Leveraged complex analytics skills and tools, such as AWS Data stack and Python, to calculate and forecast logistics capacities.

• Directly owning and controlling the marketing budget for the workforce staffing vertical. • Managed the budget and contractual SLAs of 3rd party workforce providers. • Strong full-stack analytics experience over 2 roles, including Python, SQL, Excel, and AWS infrastructure.

My main project centered around a backend-heavy live data-streaming product. Thinking from the customer's perspective and addressing the challenges, particularly concerning product-market fit and technical issues like on-cloud streaming speed, infrastructure capacity and modeling, latency, and security.