Insurance Data Analytics And BI

Development of a Real-Time Data Analysis and Predictive Profitability Platform for Insurance Providers

A customized analytics platform that processes large-scale insurance data in real-time, providing interactive dashboards for filtering, visualization, and predictive insights, supporting strategic decision-making and profitability analysis.

Python with libraries such as Pandas, Numpy, Dash, Plotly for data processing and visualization., TensorFlow for predictive modeling., PySpark for large-scale data processing....

Unified Data Analytics Platform for Multi-Brand Pet Insurance Business

Insurance

Design and develop a robust analytics system that captures complex sales data across multiple brands, standardizes data formats, and provides real-time dashboards for performance monitoring and optimization.

Analytics platforms supporting customizable event tracking and dataLayer configuration, Looker Studio or equivalent BI tools for dashboard development, Modern web development frameworks conducive to dynamic data layer integration...

Development of a Predictive Application Conversion Model for Insurance Platforms

Insurance

Design and implement a machine learning system capable of ingesting user data, processing and engineering features, training predictive models, and deploying as a microservice accessible via APIs for real-time scoring and integration.

Decision-tree algorithms such as CatBoost, Python-based data analysis with libraries like NumPy, Pandas, Matplotlib/Seaborn, Microservice architecture for deployment (e.g., Flask or similar frameworks)...

Development of an AI-Powered Insurance Data Extraction and Analytics Platform

Insurance

The system must automate the extraction of structured insurance program data from various document formats, provide an organized data repository, and deliver analytical dashboards for decision-makers via a user-friendly interface.

Cloud-based architecture (e.g., Microsoft Azure or equivalent cloud platform), Microsoft technologies leveraging .NET Core, Angular or similar frameworks, AI and machine learning models for data extraction and interpretation...