This case concerns the development of an end-to-end geospatial pipeline that integrates curated spatial attributes with Husqvarna’s internal data to produce a coherent view of golf course environments. Developed in collaboration with Knowit Solutions, the pipeline establishes the technical foundation for geospatial analytics that drive business insights. Structured spatial indexing and robust metadata contribute to an annotated dataset that supports computer vision workflows in validating patterns and enriching geospatial analytics.
Husqvarna is further advancing its data-driven approach by using geospatial analytics to generate deeper insights into green spaces and understand regional variation. This evolving technical foundation is strengthening Husqvarna’s ability to combine visual and spatial information for more precise green space evaluation and identification, enabling more focused and informed decision-making across the organization.
Vivek Chaurasia is a full‑stack data scientist with a PhD in Computational Physics and extensive experience delivering AI solutions that drive measurable business value. Specializing in machine learning, computer vision, and large‑scale data engineering, Vivek has led end‑to‑end development of forecasting, segmentation, and prescriptive analytics systems used across global operations. Vivek builds scalable ML pipelines, strengthens data quality and governance, and translates complex analytics into actionable insights for commercial and technical stakeholders. With a strong track record of accelerating AI adoption, mentoring teammates, and shaping strategic data initiatives, Vivek consistently turns advanced analytics into tangible operational and financial impact.
