Data Science Use Case Selection & Implementation (Water Management)

Collection, Selection & Implementation of Data Science Use Cases

To help a regional water organization unlock the potential of Data Science, I initiated a series of inspiration sessions, delivering a large-scale presentation on Data Science applications to an audience of hundreds. Following these sessions, I conducted one-on-one interviews with stakeholders across various departments to identify potential data-driven projects. This process resulted in a list of 22 promising use cases, reflecting key challenges and opportunities within the organization.

I summarized these findings into a consultancy report, outlining strategic recommendations for prioritizing and implementing Data Science initiatives. The report provided a structured roadmap, helping the organization focus on the most impactful opportunities. After careful evaluation, the highest-priority use case was selected: optimizing the groundwater measurement network to reduce operational costs.

For this project, I applied hydrological time series modeling to assess whether certain groundwater measurements could be reliably replaced with simulations. The analysis revealed potential annual cost savings of up to €250,000. To support decision-making, I developed an interactive map using Leaflet.js and D3.js, allowing stakeholders to explore both measured and simulated groundwater levels visually. My work provided the organization with a clear, data-driven foundation for optimizing their groundwater monitoring strategy.