
Experience of banking retail domain, ecommerce specialist in logistics working for operational analytics in inventory management. Hands-on developing experience of analytics dashboard to calculate RFM using customer data based on Customer Lifetime Value. Also study conducted with statistical models in python for logistic regression that helps with business model of customer churning.
Unix Shell scripting
Knowledge in Big data Analytics, hands-on level to solution an automated business process using cloud technologies in AWS that provide opportunities for decision making by predictive customer analytics. AWS Public cloud using AWS Managed services
Skills: Cloud Formation Template, AWS CLI, Docker, ECS, LoadBalancer, ApacheTomcat, Kinesis, DynamoDB, S3, SNS, Cassandra, BigData, EC2, S3, RDS, ELB.
PROJECT- CUSTOMER DATA ANALYTICS Using the data set with python built-in libraries for RFM
LEARNING OUTCOMES: Business discovery, Data discovery, Data preparation, Exploratory data analysis,
Feature engineering Predicting the churn and writing recommendation for priority cluster to reduce churn
Oracle cloud associate
Oracle cloud associate