User Analytics Telecom Industry

Overview

I developed a comprehensive analytics platform designed specifically for the telecommunications industry. This solution enables telecom operators to gain actionable insights into customer behavior, service usage patterns, network performance, and customer satisfaction through a unified dashboard interface.

Key Features

• Multi-Dimensional User Analysis: Comprehensive analytics across four key dimensions - user overview, engagement, experience, and satisfaction
• Device Analytics: Detailed breakdowns of handset manufacturers and models used by customers to optimize device-specific service offerings
• Application Usage Monitoring: Advanced tracking of app-specific engagement metrics (Netflix, YouTube, social media, etc.) to identify trends and monetization opportunities
• Network Performance Metrics: Real-time monitoring of TCP retransmission rates, throughput, and latency to identify service quality issues
• Customer Satisfaction Prediction: Machine learning model that combines engagement and experience scores to predict overall customer satisfaction
• Clustering Analysis: Segmentation of users based on behavior patterns to enable targeted marketing and retention strategies

Technical Implementation

• Data Pipeline: Robust data cleaning and transformation system processing large-scale telecom network data
• Interactive Visualization: Streamlit-powered dashboard providing intuitive access to complex analytics
• Statistical Analysis: Advanced metrics computation using NumPy and Pandas for trend identification
• Machine Learning Models: Predictive algorithms for churn risk assessment and customer satisfaction modeling
• Containerized Deployment: Docker-based deployment for consistent operation across environments

Business Impact

• Reduced Churn Rate: Identification of at-risk customers through engagement pattern analysis allows for proactive retention efforts
• Revenue Optimization: Insights into app usage patterns help telecom providers develop targeted data plans and promotions
• Quality of Service Improvement: Network performance analytics enable targeted infrastructure upgrades where most needed
• Customer Experience Enhancement: Data-driven approach to identifying and resolving service issues before they impact customer satisfaction

Scalability

Designed to handle millions of customer records and terabytes of usage data, with an optimized data processing pipeline that maintains performance even with growing datasets.