Smart Industry & Data Analytics Manager

For my client, a utility provider (21,000 employees, 17 billion USD revenue), I built a digital twin to get a better understanding of wind farm operations and maintenance needs for contract negotiations with a service provider. My simulation model allowed us to analyze profitability, operating costs, and service levels for scenarios featuring boats, helicopters, and maintenance crews.

I advised a medical device producer (4,000 employees, 1.2 billion USD revenue) on their new sales territories after a merger. I used historical sales volume data and two algorithms integrated into an easy-to-use spreadsheet. My client used the initial solution as a starting point and, despite the tool being meant for a one-time analysis, kept using it when changes came up.

I built a mathematical optimization model to optimize my client’s network design, considering several distribution channels (brick-and-mortar business, e-commerce, dropshipping, etc.) and a Tableau dashboard to visualize the solutions and KPIs (speed-to-customer, operating costs, capital expenditures, etc.). Finally, management implemented a strategy to extend specific stores with picking and packing areas to achieve a high service level for their e-commerce business.