A leading manufacturing firm specializing in high-volume production of automotive components. The company operates multiple production lines and faces frequent scheduling bottlenecks due to fluctuating customer demands.

Data analysis is crucial in understanding Social Determinants of Health (SDOH), offering an efficient alternative to relying solely on patient interviews. This saves time for healthcare professionals and empowers patients with information about how they can avail medical care. The primary goal is to employ proactive techniques, emphasizing the adage "prevention is better than cure." 

Implemented advanced imputation techniques, normalization, and statistical transformations to ensure resilient and consistent data processing.

Applied ensemble learning and clustering methods for effective feature selection and to derive domain-specific insights.

Utilized large language models for automated problem-solution generation and fine-tuning based on contextual parameters.