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.

3-in-1 Excel dashboard analyzing sales, profit, and revenue dynamics for B&J Biscuit, powered by macros and automated analytics.

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

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

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.

ClinicCare é um sistema de gestão para clínicas e consultórios, com agendamento, prontuários eletrônicos, controle financeiro e relatórios interativos. Desenvolvido com Dash e Plotly, possui interface responsiva, validações avançadas e foco em eficiência e segurança.

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.

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 📈.

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

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.

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

🛍️📉 An interactive Excel Dashboard analyzing Blinkit grocery sales, outlet performance, and customer ratings.

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.

Adaptive tile downloader with live progress, preview, and PNG export.