Erich Wilgenbus is passionate about the application of data centric methods towards the development of innovative decision support solutions. In addition to strong practical programming and analytical skills, Erich also has a strong theoretical foundation in computer science, data warehousing, artificial intelligence and machine learning.
Erich has a proven track record across various roles in data analytics. He has worked as business analyst, data analyst, data engineer, and data scientist across various industries. He has a proven understanding of software development, machine learning, data wrangling, and data visualization. Also, he has experience in using the underlining patterns in data to deliver actionable recommendation that solve business problems. Furthermost, he has built robust, fault-tolerant data pipelines that cleans and transforms messy data into structures that support data analysis and business intelligence.