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Data Science

Data Visualization Dashboard

Interactive dashboard for real-time data analytics and business intelligence.

Duration

3 months

Completed

June 2024

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Project Screenshot

D3.jsPythonPostgreSQLReactFastAPI

Project Overview

Developed an enterprise-grade analytics dashboard that transforms complex data into actionable insights through interactive visualizations. The dashboard processes millions of data points in real-time and provides customizable reports for different stakeholders.

The Challenge

Handling large datasets efficiently while maintaining real-time updates and interactive visualizations. The system needed to support multiple data sources and provide role-based access control for different user types.

The Solution

Implemented a data pipeline using Python for ETL processes and PostgreSQL with time-series optimizations. Used D3.js for custom interactive visualizations and React for the dashboard interface. Created a caching layer with Redis for frequently accessed data. Implemented WebSocket connections for real-time updates.

Results & Impact

Processing 10M+ data points daily

90% faster report generation compared to previous system

Real-time updates with <100ms latency

Reduced decision-making time by 60%

Adopted by 500+ users across organization

Key Features

Real-time data visualization with multiple chart types

Customizable dashboards with drag-and-drop widgets

Advanced filtering and drill-down capabilities

Automated report generation and scheduling

Export data in multiple formats (PDF, Excel, CSV)

Role-based access control

Data alerts and notifications

Historical data comparison

Mobile-responsive design

API for third-party integrations

Technologies Used

Frontend

ReactTypeScriptD3.jsRechartsTailwind CSS

Backend

PythonFastAPIPandasNumPy

Database

PostgreSQLRedisTimescaleDB

Tools & Services

DockerApache AirflowGrafanaMetabase