Data Scientist
CurrentI am responsible for close collaboration with the client to examine their needs and design, test, and implement advanced analytical solutions aimed at developing and supporting the business and aiding in making important decisions. Here are a few examples of completed (or ongoing) implementations:• Explainability of the ML forecasts.Technologies: SAS Viya, 4GL, CAS, SAS Visual Analytics• Innovative demand forecasting system based on signal (sales) aggregation to strengthen them.Technologies: SAS Viya on Azure, 4GL, CAS, SAS Visual Analytics, SAS Data Integration Studio, SAS Enterprise Guide• Implementation of the model for classifying shopping trolleys in terms of the probability of fraud checking in the real time.Technologies: Azure Databricks, Python: numpy, scipy, matplotlib, pandas, scikit-learn, xgboost, lightgbm, catboost, pyspark and other packages.• Promotional sales forecasting system.Technologies: SAS Viya, SAS Visual Analytics, SAS Model Studio, Python: numpy, scipy, matplotlib, pandas, scikit-learn, xgboost, lightgbm, catboost, pyspark and other packages.