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Frontend Architect

Sapient - Razorfish

India

April 2018 - June 2018

Developed a comprehensive sentiment analysis web application for government agencies featuring keyword-based sentiment tracking, interactive data visualizations, and geographical intensity mapping for public sentiment monitoring.

Project Title:

Government Sentiment Analysis Platform

Role:

Frontend Architect

4

Team Size

3 months

Duration

Problem & Solution

Challenge

Government agencies needed a robust platform to monitor and analyze public sentiment across various topics and keywords for policy and decision-making insights.

Solution

Built Angular 4+ application with TypeScript, featuring advanced data visualization components, real-time sentiment analysis, and interactive geographical mapping with comprehensive search and filtering capabilities.

Technologies Used

Angular 4+Angular 4+
TypeScriptTypeScript
JavaScriptJavaScript
HTML5HTML5
CSS3CSS3
SASSSASS
JasmineJasmine
KarmaKarma
JenkinsJenkins

Architecture Patterns

Component Architecture
Data Visualization
Real-time Analytics
Interactive Dashboard

Key Responsibilities

Architected frontend solution for sentiment analysis platform

Designed interactive data visualization using various chart types

Implemented keyword search and filtering capabilities

Led development of geographical intensity mapping features

Key Achievements

Built comprehensive sentiment analysis platform with advanced visualization

Enhanced government agency's ability to monitor public sentiment on key topics

Interactive pie charts
Bar graphs
Geographical intensity charts
Real-time keyword analysis

Project Outcomes

Data Visualization

Interactive charts

Pie charts, bar graphs, and geographical intensity mapping

Search Capability

Advanced filtering

Keyword-based sentiment search and analysis

Real-time Analytics

Live sentiment tracking

Real-time sentiment analysis and reporting

Government Insights

Policy support

Enhanced decision-making through sentiment data

Challenges Faced

Processing and visualizing large sentiment datasets

Creating intuitive data visualization interfaces

Implementing real-time analytics and updates

Ensuring data accuracy and relevance

Lessons Learned

Data visualization requires careful UX design consideration

Real-time analytics demand efficient data processing

Government applications need robust security measures

Interactive dashboards enhance user engagement with data

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