Na Yang

Na Yang is a passionate machine learning engineer with over 5 years of experience in the industry. Proficient in a wide range of machine learning methods, including supervised and unsupervised learning, Na has tackled complex problems in forecasting, classification, clustering, anomaly detection, and time-series data analysis.

Specializing in machine learning, deep learning, data analysis, data engineering, backend software development, speech signal processing, and network security, Na's skill set covers a diverse array of technical areas. Fluent in Python, C++, Java, C, Scala, C#, and SQL, Na has a strong foundation in programming languages.

Experienced with big data technologies like Hive, Spark, Hadoop, Kafka, and Microsoft Azure, Na has used a variety of tools such as Scikit-learn, NumPy, Pandas, TensorFlow, Keras, and more in data processing and analytics work. Familiar with tools like Piper data processing pipeline, AthenaX streaming analytics, Yab, Thrift, Git, and Amazon Mechanical Turk, Na has a rich toolkit for handling complex data workflows.

Na Yang holds a Doctor of Philosophy (Ph.D.) in Electrical Engineering with a perfect GPA of 4.0 from the University of Rochester. Additionally, Na has a Bachelor of Engineering (B.Eng.) in Electrical Engineering from Beijing University of Posts and Telecommunications.

Professionally, Na has worked as a Software Engineer in Machine Learning at Google and Uber. Na also held roles as a Senior Software Engineer in Machine Learning at Dell, Senior Engineer at Dell, and interned at Microsoft, showcasing a diverse industry experience.