⛏️ Data Mining

Data Mining involves discovering patterns, anomalies, and insights from large datasets using statistical and ML methods. At Toyota Motor Europe via IBM Consulting, I mine large operational datasets in Snowflake to identify trends in parts demand, warehouse capacity, and logistics efficiency. Techniques include clustering (k-means, DBSCAN), association rule mining, dimensionality reduction (PCA, t-SNE), and anomaly detection. I also use Dataiku and Databricks as platforms for exploratory data analysis and model development on big data.