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

An interactive Dash application providing in-depth analysis of global mental health trends, leveraging advanced data science and visualization techniques. Designed for insightful exploration of the prevalence and impact of mental disorders.

Power BI project showing various visualizations

Home Market Harvester is a Python tool for scraping OLX, otodom rental data, enabling property market analysis with automated local CSV storage.

🌍 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.

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

This dashboard is a tool that shows the prevalence and patterns of mental health illness as well as the related health care service based on county-level data among the United States. It also compares the public interests in mental health with the data from Google Search Trends.

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

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.

Excel-based dashboard project exploring bike sales trends using pivot charts and slicers. Analyzed customer demographics (income, gender, age, commute) to uncover patterns and generate actionable insights. Built for dynamic filtering and stakeholder reporting.

An interactive dashboard to explore analyze and visualize data with extremely, and a flask API

Interactive dashboard visualizing US flight delays and schedules, with dynamic filtering by city and year.

An interactive dashboard that visualises global happiness data (2020-2024), allowing users to explore key factors affecting happiness by continent and country.

📊 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.

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.

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

This project predicts housing prices in Boston using machine learning techniques. It includes data preprocessing, feature engineering with polynomial features, model training with LassoCV, and deployment via a Streamlit web app

This project develops a Power BI dashboard to analyze home loan data, providing insights into loan applications, sanctions, disbursements, and recoveries. It helps financial institutions optimize loan processes and improve recovery strategies through data-driven decision-making.

A data analytics project for exploring housing prices in King County, WA. Compare city and countryside properties with an interactive app and gain detailed insights into real estate market trends.

A comprehensive data modeling and analysis project for the 🌍Global Super Store, focusing on database design 🗃️, sales data analysis 📊, and interactive visualizations 📍 using MySQL 🖥️ and Tableau 📈.