• Builds algorithms and data models using python and Oracle SQL to improve efficiency and performance in a supply network such as the Integrated Replenishment Model which is designed to optimally allocate orders across CVS stores to meet demand while meeting certain thresholds• Works on high impact projects including Rx Machine Learning tracking and measurement. Works with various business teams to present weekly model performance, forecast accuracy reports, compare cost reduction for test stores vs control stores and determines actions to take to further develop the machine learning model• Utilizes advanced statistical techniques and tools such as Databricks, Snowflake, Azure Data Storage, Oracle SQL Developer and Teradata to store, analyze high-volume data and solve complex business problems• Writes AI automation scripts and GUI applications using python to make processes, ETL tasks, data cleaning and SQL calculations for dashboard reporting more efficient

• Used advanced analytical tools and programming languages to perform daily tasks such as Big Query Cloud Datawarehouse, Data Studio, SQL, Python and R• Pioneered data architecture development, produced relevant data models, and designed the organization’s data flow for a secure, high-performance, and reliable big data and analytics software• Used Natural Language Processing (NLP) and data mining techniques for behavioral analysis and estimating consumer nature relevant to different global brands in the US. This includes working with various business teams within the organization to solve problems across different client domains and industries• Executed analytical experiments and worked with large volume of structured and unstructured data to discover trends, build predictive models, and present information using data visualization techniques