Data Analysis Reports Hub
Centralized multi-page web dashboard showcasing a compilation of comprehensive data analysis reports (India Crime, CPI Inflation, Delhi Rainfall) with interactive Chart.js analytics and role-based controls.
Individual data analysis projects and notebooks often remain fragmented across separate repositories, making it difficult for stakeholders to explore, compare cross-domain findings, or access unified interactive analytics.
Built a centralized, multi-page web dashboard (Analysis Hub) publishing structured reports across economic, climate, and crime domains. Integrated spatial EDA, time-series forecasting (ARIMA), and XGBoost Tweedie regression with interactive Chart.js visualization, global client-side search, and Role-Based Access Control (RBAC).
- →Unified multi-report dashboard hub compiling CPI inflation, Delhi rainfall, and India crime analysis
- →Interactive Chart.js cross-report analytics and spatial/temporal visualizations
- →ARIMA time-series model (R² = 0.884) for CPI and XGBoost Tweedie model (R² = 0.82) for rainfall
- →Role-Based Access Control (RBAC) with client-side global instant search
- 01Centralizing disparate analytical reports into a unified hub drastically improves presentation, accessibility, and stakeholder engagement
- 02Tweedie loss function in XGBoost effectively models zero-inflated, highly skewed continuous distributions like daily rainfall
- 03Lightweight vanilla JavaScript and Chart.js enable lightning-fast client-side search and smooth page transitions without build tool overhead