4 years experience with data visualization setup and tools, including modern dashboarding software, such as Tableau or PowerBI;br 4 years experience in statistical techniques such as OLS, GLMs, logistic or TreeBased Models;br 3 years experience with Python or R, SQL, and using Jupyter notebook, PyCharm or RStudio;br 3 years experience with Big data environments and analytics such as data lake construction, GCPAzure applications, or cloud deployment;br 3 years experience in consumer churn, segmentationprofiles, lifetime value, trend detection, or product optimization;br 3 years experience in analyzing accident year, calendar year, and policy year premium and losses;br 3 years experience in utilizing insurance loss development concepts such as IBNR or development triangles within BI reporting products;br 3 years experience in forecasting volume or plan numbers within an insurance line of business;br 2 years of experience in other core multivariate techniques, deep learning techniques, machine learning algorithms, text mining NLP, and A.I. concepts.
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