Bassel El Mohor

Joined as an early technical member to help build the foundation for three sustainability analytics modules. My work focused on integrating LLMs into our product strategy and developing Python-based workflows to automate manual reporting tasks. I also engineered the backend infrastructure for carbon modeling and collaborated with the broader team to deliver our MVP and resolve production challenges as we scaled.

Applied data science methods such as data cleaning, feature engineering, and exploratory analysis to generate sustainability insights across different industries. I focused on transforming raw datasets into actionable trends to support client decision-making and long-term ESG strategies.

Developed ETL pipelines to unify financial, market, and operational data for M&A due diligence. I also built SQL-backed dashboards to provide the M&A team with clear acquisition insights and data-driven support for investment decisions.

Thesis: Competing-Risks Survival Analysis of Corporate Bankruptcy & Acquisition: Grade 18/20 Major: Quantitative methods with a focus on AI, ML, Data Science and Optimization. Minor: Technology, Innovation and Entrepreneurship.

Bachelor’s Project: Belgian Cheese Brand Optimized the production strategy and product portfolio for a local Belgian cheese manufacturer. I focused on streamlining production processes and identifying efficiencies to reduce waste for alternative product lines, ultimately providing data-backed recommendations for product mix improvements to increase overall operational margins.