Excel Projects

Two stochastic simulations comparing Excel and Python implementations. (1) EOQ model with random ordering costs: 787 samples vs 78,766 showing variance reduction. (2) Newsvendor optimization with demand uncertainty: ~789€ expected profit, 93% service level. Includes histograms, critical ratios, and sensitivity analysis across both platforms.

Cradle-to-grave environmental impact analysis of a 7-gram wooden clothespin. Quantified GHG emissions across sourcing (Malaysia), processing & manufacturing (China), and distribution to Netherlands. Total carbon footprint: 0.024 kg CO₂-eq per unit—3.5× its physical weight. Detailed breakdown of 8 transportation routes and 4 lifecycle stages using Greenhouse Gas Protocol methodology.

Interactive dashboard investigating whether social media presence on TikTok correlates with improved financial performance. Analyzed 10 food & beverage companies (2018–2022) using Tobin's Q valuation metrics and Return on Sales (ROS) efficiency measures. Built linear regression models to evaluate the relationship between TikTok adoption and firm performance, with deep-dive case study on Oatly Group AB.

Comparative analysis of first-week math homework performance across 81 Maastricht BA students. Aggregated and visualized Sowiso platform data (score vs duration) across 64 mathematical sub-themes, identifying outliers and revealing why raw averages can mislead.

Multiple linear regression model predicting Bordeaux daily temperature using neighboring weather stations (Nantes, Limoges, Toulouse, Pamplona). Trained on 3 years of ECAD climate data and validated on holdout 2020-21 dataset. Achieved R² = 0.97 for powdery mildew prevention application.