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Newell BrandsData Scientist
May. 2022 - May. 2023Hoboken, New Jersey, United States◉ Predictive Model for Consumer Churn: 📈 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. ◉ Real-time Business Intelligence Alert System: ⚠️ 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. ◉ Automated Data Analysis Pipelines: ⚙️ 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. ◉ Impact Analysis of SMS and Email Campaigns: 📊 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.
Oklahoma State UniversityGraduate Research And Teaching Assistant
Aug. 2021 - Apr. 2022Stillwater, Oklahoma, United States◉ Course Assistant in Marketing Analytics: 📚 My primary role was to support the professor by managing the Canvas Learning Management System and grading assignments. ◉ Anti-Human Trafficking Research: 🕵️ Assisted my professor in conducting significant anti-human trafficking research. This important work revolved around studying the persistence and movement of phone numbers within escort advertisements, thereby contributing to a broader understanding of trafficking patterns.
Mohan Spintex India LimitedManager, eCommerce Analytics
Jun. 2017 - Jun. 2021Vijayawada, Andhra Pradesh, India◉ Engaged in Amazon monthly sales reporting and utilized time series analysis and ARIMA models in R 📊 for Prime Day sales forecasting, resulting in a 10% reduction in forecast error. ◉ Streamlined data governance by implementing data cataloging and management practices 📚, enhancing data accuracy and accessibility across the organization. ◉ Created interactive dashboards using Power BI 📈, delivering real-time insights into sales and customer behavior to key stakeholders. ◉ Executed RFM (Recency, Frequency, Monetary) analysis using Python 🐍 and SQL 🗃️ for customer segmentation, leading to improved targeted marketing strategies and a 15% increase in customer retention.