Skip to main content
Angela Gitonga
HomeAboutSkillsExperienceProjectsContact
Download CV
Angela Gitonga

Data Analytics Specialist with 3+ years of enterprise experience at Jubilee Insurance. Transforming data into actionable insights.

Navigation

  • Home
  • About
  • Skills
  • Experience
  • Projects
  • Contact

Connect

  • LinkedIn
  • GitHub
  • Email

Resume

Download my CV to learn more about my experience and skills.

Download CV

©Copyright 2026 Angela Gitonga. All rights reserved.

Built with Next.js, Tailwind CSS & shadcn/ui

Back to Projects

Claims Analytics Dashboard

A comprehensive claims analytics solution providing operations managers with deep insights into claims processing performance, bottlenecks, and opportunities for improvement.

2 months
Insurance Industry
Power BISQLDAXPythonPower Query
Claims Analytics Dashboard hero image
Claims Analytics Dashboard

Client Context

Claims operations team of 50+ processors handling life, health, and general insurance claims.

The Problem

Operations managers lacked visibility into claims processing performance and couldn't identify bottlenecks or allocate resources effectively.

Pain Points
  • No real-time view of claims queue and aging
  • Inconsistent SLA tracking across claim types
  • Unable to identify processing bottlenecks
  • Manual workload balancing based on intuition
  • Limited visibility into processor productivity
Constraints
  • Must respect processor privacy in productivity tracking
  • Integration with legacy claims management system
  • Support for both desktop and operations floor displays
  • Real-time updates for queue management

The Solution

Created a multi-view dashboard system with operational, management, and strategic views, each tailored to different user needs and decision timeframes.

Implementation
  • Built real-time data connection to claims system
  • Developed SLA tracking with automated alerting
  • Created workload balancing recommendations engine
  • Implemented processor performance scorecards
  • Designed operations floor display optimized for large screens
Key Features
  • Live claims queue with aging indicators
  • SLA performance tracking by claim type and processor
  • Bottleneck identification with drill-down
  • Workload distribution visualization
  • Trend analysis for capacity planning

The Impact

30%
Faster average claim resolution time
95%
SLA compliance (up from 78%)
25%
Improvement in processor productivity
Real-time
Visibility into operations (from daily)

Before

Daily reports, 78% SLA compliance, reactive management

After

Real-time visibility, 95% SLA compliance, proactive optimization

Project Screenshots

Back to ProjectsNext: Self-Service Analytics Portal