Utilizing deep learning methods to detect anomalies in multivariate time series - Managed raw multivariate time series of KPIs collected from IBM Cloud - Assisted in data pre-processing (handling missing values, scaling, feature selection) - Performed anomaly detection through time series forecasting and reconstruction - Trained models for unsupervised learning with recurrent and convolutional neural networks