Marwan Zein

Financial modeling with BI, Excel, Streamlit, Matplotlib, and Seaborn: Building complex financial models for M&A transactions.

Structuring operations: Analysis and modeling of financing structures for company acquisitions using ML (Python + Numpy + Sklearn).

Financial due diligence: In-depth analysis of financial data using Pandas and Python, and implementation of dashboards for decision-making support (balance sheets, income statements, cash flow statements).

Financial reporting: Production of financial summaries for C-level executives and investors.

Automation: Development of Excel macros and Python scripts to automate recurring data processing.

Financial modeling for commercial proposals: Building payment schedules, calculating customer profitability (ROI, payback period), simulating pricing for contracts.

Structuring complex commercial offers, analyzing B2B clients (multinational mining/oil and gas Kinross, Total), modeling adapted pricing structures, optimizing margins.

Financial feasibility analysis: Evaluating the economic viability of infrastructure projects (waste treatment facilities), Capex/Opex projections, break-even calculations.

Negotiation and Closing: Full management of the sales cycle for multi-year contracts with major international accounts, negotiation of contractual and financial terms.

Pre-sales commercial support: Responding to RFPs, coordinating technical/financial/legal teams, drafting commercial proposals with detailed sections.

Post-sale customer support: Managing client relationships after signing, contractual adjustments.