Newell BrandsData Scientist
May. 2022 - May. 2023Hoboken, New Jersey, United Statesโ Predictive Model for Consumer Churn: ๐ Utilized Azure Databricks and Pyspark to construct a machine learning model aimed at predicting consumer churn for Yankee Candle Company. Deployed the model live, providing insights via a Power BI dashboard. Further explained the influential factors behind the model predictions. โ Real-time Business Intelligence Alert System: โ ๏ธ Designed and executed a proactive BI alert system. Leveraged SQL and Python for real-time monitoring of critical website metrics such as Bounce Rate and Checkout Rate, triggering alerts to business leaders during abnormal activity. This proactive approach improved decision-making efficiency and promptly addressed potential business issues. โ Automated Data Analysis Pipelines: โ๏ธ Engineered automated pipelines for regular data analysis and reporting. Employed Databricks, Power Automate, and Azure Data Factory for a streamlined and efficient data management process, saving time and resources. โ Impact Analysis of SMS and Email Campaigns: ๐ Led an intensive analysis to measure the impact of SMS and Email marketing campaigns on revenue for brands including Yankee Candles, Marmot, and Coleman. Identified non-responsive customers, significantly reducing direct costs and enhancing the efficiency of marketing efforts.