About

Sandy Chen is a highly experienced Machine Learning Engineer at Apple, with a solid background in statistics, applied mathematics, stochastic process, and mathematical modeling. With extensive experience in machine learning, deep learning, and data analysis, Sandy is proficient in Python, Spark, Scala, SQL, C, C++, R, SAS, Matlab, Java, and Hadoop. Sandy has worked as a Lead Data Scientist at Datasense Analytics Inc., where she developed machine learning and deep learning models, performed data engineering, and conducted ad-hoc data analysis on big data. She has also worked as a Research Intern at the Georgia Institute of Technology, where she researched discrete optimization, combinatorial optimization, and stochastic optimization. Sandy holds a Doctor of Philosophy (Ph.D.) degree in Operations Research from the University of Illinois, where she also earned a Master’s Degree in Industrial Engineering. She obtained her Bachelor’s Degree in Electrical and Computer Engineering from the Beijing Institute of Technology. With 8.78 years of relevant experience, Sandy is highly skilled in ML, Research Scientist, Deep Learning, SQL, Spark, Hadoop, Data Engineering, Data Scientist, Big Data, Python, Scala, and Java. She has in-depth knowledge of optimization, simulation, operations research, and decision analysis under uncertainty. Overall, Sandy is a highly skilled and experienced Machine Learning Engineer with a strong academic background and a proven track record of success in the field. She is passionate about using her skills and expertise to develop innovative solutions and drive business growth.