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interactive-dashboard

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World Bank Explorer is an interactive and responsive web application that retrieves, visualizes, and compares global development indicators sourced from the World Bank Open Data API. The application allows users to explore data on multiple scales ... By Bocaletto Luca

  • Updated Jun 12, 2025
  • JavaScript

🌍 ML-powered climate impact predictor integrating NASA, World Bank & real-time APIs. Features time-series forecasting, interactive dashboards & production deployment. Portfolio project showcasing end-to-end data science pipeline.

  • Updated Jun 25, 2025
  • Python

Stock Price Prediction Using LSTM is an AI-powered tool built with Python, TensorFlow, and Streamlit. It lets users train LSTM models on real-time stock data and visualize predictions interactively.

  • Updated Apr 24, 2025
  • Python

Containerized platform for enterprise intelligence—microservices-based, ML-driven real-time KPI dashboards, automated A/B testing & Monte Carlo simulations, RFM segmentation, CLV & demand forecasting, with Kubernetes deployment, CI/CD pipelines, OpenAPI docs & Prometheus monitoring

  • Updated Jul 11, 2025
  • Jupyter Notebook

Published in GigaScience. Web app for post-GWAS/QTL analysis that performs a slew of novel bioinformatics analyses to cross-reference GWAS/QTL mapping results with a host of publicly available rice databases

  • Updated Aug 1, 2025
  • Python

📊 A Power BI project that analyzes agricultural productivity across Indian states using rainfall, fertilizer usage, pesticide application, and yield data. The interactive dashboard allows users to explore crop-wise and state-wise performance, identify key influencers, and derive actionable insights for improving agricultural outcomes.

  • Updated Apr 18, 2025

This project features an interactive Power BI Sales Dashboard built on global superstore sales data. Key Features ETL Process: Extracted, transformed, and loaded data to meet project requirements. Data Cleaning: Used Power Query for data preparation. DAX Calculations: Created calculated measures and columns for enhanced analysis. Visualizations: D

  • Updated Jul 2, 2025

This project analyzes IPL (Indian Premier League) 🏏 data from 2008-2017 using Tableau 📊 to create interactive dashboards. It explores match outcomes, player performances 🏅, and team statistics 📈, offering insights into trends, top players 🌟, and team performances. The project uses `matches.csv` 📁 and `deliveries.csv` 📂 datasets to visualize

  • Updated Jan 5, 2025

The Supermarket Sales Dashboard offers a concise overview of sales performance, featuring key metrics and detailed analyses by product, category, and time period. Interactive filters enable data-driven decisions to improve profitability and efficiency.

  • Updated Jul 15, 2024

Sales Analysis - Sprocket Central Pty Ltd: This repository presents an in-depth analysis of sales data for Sprocket Central Pty Ltd. Discover key trends, best-selling products, optimal advertising timing, and actionable recommendations for growth. The interactive dashboard provides comprehensive visualizations, empowering stakeholders.

  • Updated Jul 11, 2023

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