About

Son Hoang is a highly skilled Senior Staff Data Scientist at ThoughtTrace, with over 10 years of relevant experience in the field. He is a pattern recognition specialist with a strong background in critical thinking, machine learning techniques, and probability theories. His expertise allows him to explain the what, the how, the right, and the wrong in various practical applications. At ThoughtTrace, Son is responsible for implementing POC of Deep Learning models for OCR Error Correction, Sentiment Analysis, Universal Sentence Encoding with FastText, LSTM, Spacy, Tensorflow. He also builds multi-label provision and sentence classification for Oil&Gas Lease/Agreement with Label Powerset, SVM. He implements Rule-based and Deep Learning-based Named Entity Extraction from Lease/Contract with GATE, Google BERT. Additionally, he implements Semantic Search and Semantic Ranking with Elastic Search and TensorFlow Hub. He designs process orchestration with microservice architecture and deploys it on the Microsoft Azure Cloud Platform (Azure Service Bus, Message Queue, Azure Redis Cache, Blob Storage). Son's past experience includes working as a Pattern Recognition/Machine Learning Consultant at Deep Signals, where he designed deep signals engines, from Signal Monitoring to Price Movement Predicting for Trading powered by Semantic Web, Big Data, and Deep Learning (Convolution Neural Network, Recurrent Neural Network - LSTM, Deep Reinforcement Learning - Deep Q-Network). He also did Time Series Analysis (Forecasting, Trending, Co-integration, Discord detection) on stock price and market attention series using SAX (Symbolic Aggregate Approximation), Echo State Network, RNN. He built visual analytics and graph analytics with R Shiny, Spark GraphX, and tools to support Revolutionary Trading System, Asset Management, Risk Management. Prior to joining Deep Signals, Son worked as a Data Scientist/Senior Machine Learning at CGG, where he worked on top of Salt picking using Deep Learning (3D CNN Tensorflow), Salt Body picking using Deep Learning (3D CNN Tensorflow), Seismic Noise detection QC using Deep Learning (2D CNN Tensorflow), Job running time prediction using Deep Learning (Maxout Dense Network Tensorflow), and AutoQC job streaming system using Big Data Analytics (Spark Streaming + HBase). Son holds a Doctor of Philosophy (Ph.D.) in Computer Science from the University of Houston, where he also earned his Bachelor of Science (B.S.) in Computer Science. He completed his High School Diploma in Mathematics from Le Hong Phong High School.