Call center statistical analytics for staffing level.
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Updated
Feb 5, 2019 - HTML
Call center statistical analytics for staffing level.
Predict which customers should a call-center call for greater assertiveness in a sale
This project involves helping a telecoms company better understand how its call center operations are performing on a daily basis.
An AWS serverless AI services pipeline for analysing call center calls, with custom analytics built around AWS Transcribe and AWS Comprehend and insights published on AWS Quicksight.
VB.Net code for interfacing with Avaya's CMS Supervisor call center management software.
an internship where i use different data set and analyse call centre trend , churn analysis and diversity inclusion analysis
ARCH and GARCH models along with MLOps pipeline using AWS platform to deploy model in a production environment.
Gaussian Time Series model and MLOps pipeline using the AWS to deploy the model in a production environment.
Time series model using multiple linear regression on call-centre data.
PwC Switzerland Power BI in Data Analytics Virtual Case Experience helps build foundation in data analysis and visualization with Power Bi
Agent Insights & Call Activity at Your Fingertips. This Power BI dashboard tracks calls answered, answer speed, & customer satisfaction. Built with Power BI & Excel.
Comprehensive Power BI dashboards showcasing insights on Call Centre Trends, Customer Retention, and Diversity & Inclusion to drive business impact.
This analysis measures the performance of a call centre and assessed the satisfactions and sentiments of customers.
Official Repo for python-vcon and py-vcon-server Python packages
Power BI Dashboards and Power Point Presentations
Amazon Transcribe Live Call Analytics (LCA) Sample Solution
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