I offer artificial intelligence-powered solutions, including data analysis and condition monitoring

I am skilled in applying machine learning and deep learning, including algorithms such as self-organizing maps, Gaussian mixture models, support vector machines, autoencoders, and CNNs, to analyze time-series and image data for anomaly/fault detection and diagnosis, and I have developed forecasting models using support vector regression and long short-term memory networks, alongside experience in analyzing the time-domain and frequency-domain properties of data (vibration) using signal processing methods.