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Xiaodong Dang has a diverse work experience in the field of data science. In 2013, they worked as a Production Research Assistant at Pacific Seeds Pty. Ltd., where they conducted data analysis and provided database management and reporting support for production planning and monitoring. From 2016 to 2018, they worked as a Data Scientist - Adaptive Learning at Adaptemy, where they developed models and algorithms to enhance the adaptive learning engine. At Quantium, they worked as an Analyst from 2018 to 2020, delivering analytical solutions for retail and banking clients using various tools such as Scala, Spark, R, and Python. From 2020 to 2023, they worked as a Senior Data Scientist at RangeMe, where they delivered end-to-end predictive solutions and provided comprehensive guidance on the interpretation and utilization of predictions. Currently, they hold the position of a Senior Data Scientist at Zip Co.

Xiaodong Dang obtained a Postgraduate diploma in Data Analytics from the National College of Ireland, which was completed from 2015 to 2016. Prior to that, they pursued a Doctor of Philosophy (Ph.D.) degree in Ecology, Evolution, Systematics, and Population Biology from Maynooth University, from 2008 to 2012. Additionally, Xiaodong has obtained various certifications including: "Communicating Business Analytics Results" from Coursera Course Certificates in April 2020, "Deep Learning Specialization" from Coursera Course Certificates in August 2018, an "edX Certificate for Introduction to Computer Science and Programming Using Python" from edX (specific dates not provided), an "edX Honor Code Certificate for Financial Analysis and Decision Making" from edX (specific dates not provided), an "edX Honor Code Certificate for Tackling the Challenges of Big Data" from edX (specific dates not provided, but the course took place from July 7, 2015, to August 18, 2015), and an "edX Verified Certificate for Scalable Machine Learning" from edX (specific dates not provided).