Alborz Manavi

• Data science and Machine learning engineer • Scientific machine learning, Physics-informed neural network (PINNs), optimization, uncertainty quantification, and sensitivity analysis. Quantitative models. • Data modeling, visualization and model maintenance and validation • Data preprocessing, Denoising data with denoising autoencoder neural network (DAE-NN) • Anomaly detections, handling missing data with variational-autoencoder neural network (VAENN) • Experienced in ETL via Kafka and MySQL server