Alex Seong is a seasoned data scientist, machine learning engineer, and data engineer with a strong software engineering background. He holds a master's degree in Communication and Information from Seoul National University and is currently studying for a master's degree in Computer Software Engineering at Harvard Extension School. He also completed a Data Science Immersive program at Galvanize in San Francisco.

Seong has an extensive professional experience spanning across several organizations such as Samsung SDI, Divergence.ai, Elite Prep, and ClearVista Comm Inc, among others. He has a proven track record of delivering valuable insights through big data, machine learning, deep learning, statistics, and business analytics. Seong is proficient in a variety of programming languages such as Python, R, C/C++, Java, PHP, Scala, and JavaScript/JQuery, among others. He is also well-versed in several data engineering tools like Spark, Hadoop, HDInsight, Kafka, SQL, Apache Hive, Redshift, and Apache HBase, to mention a few.

Seong's areas of expertise are quite broad and cover several domains like machine learning algorithms, data mining, end-to-end machine learning pipeline, deep learning, natural language processing, and business intelligence, among others. He is also skilled in various database management systems like HBase, MS SQL Server, Oracle, MySQL, MongoDB, and Postgres.