During your internship you will analyze large-scale historical data to uncover patterns, correlations, and anomalies that support product reliability improvement.
You will design and evaluate meaningful new features from raw data; perform correlation and relevance analysis to identify key predictive indicators.
Furthermore, you will develop and evaluate machine learning models on the Databricks platform to enable early detection of potential product issues and proactive reliability improvement.
Finally, you will present findings and model results clearly through visualizations and dashboards to support engineering decision-making.