About

Hsiang-Hsuan Hung is an accomplished data scientist and tech lead with over 15 years of experience in the field. He is passionate about exploring the real world and gaining insights through the use of machine learning, big/geospatial-data mining, and statistics. Hsiang-Hsuan's expertise includes delivering ML models in production, with proficiency in Python (pandas, pyspark, geopandas), SQL, R, Matlab/Octave, and Mathematica. Hsiang-Hsuan is well-versed in supervised and unsupervised machine learning techniques, including regression, classification, time-series analysis, anomaly/outlier detection, clustering, PCA, factor analysis, and associate-rule-learning. He is also skilled in deep learning (Keras), including autoencoder, deep embedded clustering, LSTM, CNN, and object detection. Hsiang-Hsuan's experience with big-data includes AWS EC2, Spark, S3, Hadoop HDFS, Kafka, and Spark Streaming/MLlib/SQL. In addition to his technical skills, Hsiang-Hsuan has a strong academic background in computational physics/material science. He is proficient in integrating high-performance computing skills, such as stochastic sampling (Monte Carlo) and numerical optimization (dynamical mean-field and numerical renormalization), to solve multi-dimensional quantum-mechanical problems. Hsiang-Hsuan's professional experience includes working as a Data Scientist, Tech Lead at AppDynamics, Cisco. He has also worked as a Senior Data Scientist and Data Scientist - Machine Learning at LexisNexis. At LexisNexis, he developed fraud detection models, delivered machine learning models in production, and designed prototype end-to-end outlier detection platforms. Hsiang-Hsuan holds a Doctor of Philosophy (PhD) in Physics from the University of California, San Diego, as well as a Master's degree in Physics from the University of Pittsburgh and Nanjing University. He also holds a Bachelor's degree in Physics from Tunghai University. Hsiang-Hsuan's tech stack includes Data Scientist, Research Scientist, Senior Software Engineer, SQL, ML, Spark, AWS, Recommendation system, Object detection, Keras, HDFS, CNN, Object Detection, Deep Learning, Scikit, MapReduce, test, Python, Javascript, Pandas, Cassandra, Hadoop, Kafka, and Flask.