Lynn Miller

Lynn Miller is a highly experienced Data Scientist, Developer, and Engineer, holding a Master's in Data Science, a B.Sc. (Hons) degree, and multiple certifications. With a strong background in SQL, R, Python, and Java, Lynn has amassed 18 years of expertise in customer-facing consulting roles for reputed companies like Oracle and Red Rock. Lynn specializes in Oracle database support, performance tuning, and backups for large, complex data systems, having served clients such as ANZ, Spark Telecom, and various government departments.

Throughout a career spanning over two decades, Lynn has been recognized for outstanding achievements, including being awarded Dux of Master of Data Science and securing Oracle Certified Professional credentials, specialized in various areas such as Performance Tuning and Real Application Clusters. With extensive experience in SQL programming, UNIX shell scripting, and familiarity with tools like Hadoop, Scala, and Spark, Lynn has successfully managed over 120 data projects, with a focus on database installations, upgrades, and custom development.

As a data expert, Lynn has spent significant time in the field of Data Warehousing, overseeing projects like the Telecom NZ Marketing DW and Loyalty NZ DW. Furthermore, Lynn excels in Data Science and Development, with a portfolio that reflects two years of designing predictive data models, mining datasets using various querying languages, and employing data analysis techniques along with Machine Learning algorithms. Lynn's ETL development skills using tools like Oracle warehouse builder and PL/SQL scripts have been honed over five years, demonstrating a well-rounded expertise in data management and analytics.

Education-wise, Lynn holds a Master's Degree in Data Science with a GPA of 4.0 from Monash University, complemented by a BSc (Hons) in Computer Science from the University of Canterbury. Lynn's professional journey includes diverse roles at esteemed organizations like Monash University and Red Rock Consulting, showcasing a blend of academic acumen and real-world experience in the realms of data science, data analysis, and database management.