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Network Power<100 people
Roles
๐งจ50%
Consulting
๐งฎ50%
Education
๐ฐ25%
Investor & VC
Geos
๐บ๐ธ50%
United States
๐ฎ๐ณ25%
India
Work Background
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.
Oklahoma State UniversityGraduate Research And Teaching Assistant
Aug. 2021 - Apr. 2022Stillwater, Oklahoma, United Statesโ Course Assistant in Marketing Analytics: ๐ My primary role was to support the professor by managing the Canvas Learning Management System and grading assignments. โ Anti-Human Trafficking Research: ๐ต๏ธ 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, Indiaโ Engaged in Amazon monthly sales reporting and utilized time series analysis and ARIMA models in R ๐ for Prime Day sales forecasting, resulting in a 10% reduction in forecast error. โ Streamlined data governance by implementing data cataloging and management practices ๐, enhancing data accuracy and accessibility across the organization. โ Created interactive dashboards using Power BI ๐, delivering real-time insights into sales and customer behavior to key stakeholders. โ Executed RFM (Recency, Frequency, Monetary) analysis using Python ๐ and SQL ๐๏ธ for customer segmentation, leading to improved targeted marketing strategies and a 15% increase in customer retention.