Sales Analytics application Extract, Process, Model, Analyze, and Visulaize sales data. Machine learning pipeline developed for Data ingestion, Data process, Feature engineering, Model training, evaluation, and Deployment.
Application hosted in Azure platform. Sales data captured from Salesforce, Social Media, Backoffice systems and sent to Kafka. Spark stream collects data and store into Azure SQL.
Data engineering and feature engineering executed at scale for preparing Data Model. Model trainer package is submitted to Spark ML Engine. The Model output exported to Azure Storage. The trained data model deployed to access as a microservice that has a REST API. Users gets Sales insights, recommendations for guiding business in decision making at Tableau and Web application.
Machine Learning Models