🇶 Quantum Software Development

Enterprise-grade pipeline integrating real-time financial market data (Bloomberg, Brazilian Central Bank), advanced OSINT capabilities (WhatsApp detection, virtual number analysis), post-quantum cryptography for data protection, and blockchain analytics via TON network. Demonstrates crypto-agility, MCP-based orchestration, and agentic AI coordinati

🔐 1-Cybersecurity Social Engineering Main Repository - PUCSP: Academic hub for Cybersecurity & Social Engineering (PUC-SP, 2026) — labs, ethical hacking simulations, AI security practices, and applied defense strategies.

🕸️1-Distributed-Systems-Main repository for the 5th semester Distributed Systems and Operating Systems – Specialized Consulting to Support the Integrated Project (Humanistic AI and Data Science – PUC-SP), centralizing weekly classes, OS reviews, materials, and project links.

🔐 2-Cybersecurity Social Engineering Project Management:Governance-oriented Project Management framework for Cybersecurity and Social Engineering initiatives, aligned with PMI/PMBOK best practices, integrating risk, quality, and secure-by-design principles for AI and technology-driven projects.

👩🏻‍🚀 1-Data Miining Main Repo -focusing on unsupervised learning methods (clustering, PCA, dictionary learning, anomaly detection) applied to real-world projects for third-sector organizations. Results are shared publicly in open repositories and community platforms.

🇧🇷 The ultimate hub for Solana development, Star Atlas economics, Seeker mobile stack, and Post-Quantum security resources. 🇧🇷🇬🇧

This repository contains a statistical analysis of customer service ratings for Biscobis Ltd

✍️ Calculus II - Basic Function Integrals

✍️ Math Calculus I - Limits and Derivatives Exercises - AI Data Science - PUCSP University

Integrated Mathematics Projects - LOGISTICS, FINANCE, CREDIT, ENGINEERING, HEALTH AND OTHERS

👩🏻‍🚀 16 – Data Mining: LLM Tabular Preprocessing with Dictionary Groups — Dictionary-Based Feature Grouping for LLM/AI Pipelines

🇶 Quantum 4 All - Research and Exploration in the Field of Quantum Computing

👩🏻‍🚀 15- Data Mining Hands-on project exploring clustering techniques (K-Means, Mean-Shift, DBSCAN) with data cleaning, visualization, and method comparison

This repository contains a curated set of educational Jupyter notebooks aimed at introducing the fundamentals of Quantum Hardware. Developed as part of the bqb Quantum Youth initiative, these beginner-friendly resources blend theory with learning on real and simulated quantum processors.

# Quantikz: A Quantum Circuit Typesetting Tool for LaTeX

From Homo Sapiens to Homo Galacticus

Torus - Quantum Magnetic Field

QMaths

This repository analyzes wealth distribution among Brazilian banks, highlighting disparities between national and foreign institutions.

qiskit circuits on IBM Quantum

A code repository designed to show the best GitHub has to offer.

👩🏻‍🚀 14-DataMining - DBSCAN and Spectral Clustering

👩🏻‍🚀 12- Data Mining Hands-on project exploring clustering techniques (K-Means, Mean-Shift, Affinity Propagation) with data cleaning, visualization, and method comparison

👩🏻‍🚀 5-Data Mining - Data Cleaning, Preparation and Detection of Anomalies (Outlier Detectio

👩🏻‍🚀 13-DataMining: Clear, beginner-friendly explanations and hands-on resources on Principal Component Analysis (PCA) and Isolation Forest for Outlier Detection — designed to make unsupervised learning approachable for everyone. ✠💚✠

👩🏻‍🚀 11-Data Miining -Affinity Propagation Algorithm - This repo shows how Affinity Propagation performs unsupervised clustering by finding exemplars automatically — no need to set the number of clusters like K-Means. It uses message passing between data points and includes code, K-Means comparison and Silhouette Score evaluation

👩🏻‍🚀 10- DataMining- This repo implements the Mean Shift clustering algorithm, which finds clusters by shifting points toward higher density areas without needing a preset number of clusters. It includes implementation code, comparisons with K-Means, and applications like video tracking and face recognition.

👩🏻‍🚀 9- Data Mining Hands-on project exploring use of the KMeans Algorithm Presentation

👩🏻‍🚀 8-Data Mining Prediction - Comprehensive K-Means clustering tutorial with step-by-step Python implementation, including normalization, elbow and silhouette methods, cluster visualizations and applications in image segmentation, Monkey analysis, and other clustering tasks.

👩🏻‍🚀 7-Data Minining - Regression Techniques with Data Integration