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Dev-Toledo/README.md

Hi there, I'm Caio Toledo! 👋

Operations Research Analyst | Data Science & AI | Python Developer


👨‍💻 About Me

I am a Systems Analysis and Development graduate passionate about solving complex business problems through data and algorithms.

  • 🎓 Academic Highlight: I successfully applied the Traveling Tournament Problem (TTP) to optimize the Brazilian Series B Football Championship in my final thesis.
  • 💡 Focus: Bridging the gap between Mathematical Optimization (OR) and modern Artificial Intelligence to build intelligent, efficient, and automated solutions.
  • 🚀 Skills: Operations Research, Machine Learning, Data Analytics, and LLM Integrations.

🚀 My Tech Stack

Modeling & Algorithms (Operations Research):

Python C++ Gurobi Algorithms

Machine Learning, AI & Automation:

Scikit-Learn Streamlit Google Gemini PyAutoGUI

Data Science & Analysis:

Pandas NumPy Plotly SQL Jupyter

Workstation & Version Control:

Visual Studio Code Git Linux


📫 Contacts:

Gmail LinkedIn

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  1. tsp-drone-solver tsp-drone-solver Public

    Solving the Flying Sidekick Traveling Salesman Problem (FSTSP) using Mixed-Integer Linear Programming (MILP) with Python & Gurobi. Optimizes hybrid truck-and-drone delivery routes.

    Jupyter Notebook 1

  2. ttp-serie-b-solver ttp-serie-b-solver Public

    Solving the Traveling Tournament Problem (TTP) for the Brazilian Championship (Serie B). Genetic Algorithm optimization achieving 10.9% reduction in total travel distance.

    Python

  3. Automated-Product-Registration Automated-Product-Registration Public

    A Python automation script that reads product data from a CSV file and automatically registers them into a web system using GUI automation.

    Python

  4. Customer-Churn-Analysis Customer-Churn-Analysis Public

    An exploratory data analysis (EDA) pipeline built with Python, Pandas, and Plotly to uncover patterns in customer cancellation rates.

    Jupyter Notebook

  5. AI-Credit-Score-Predictor AI-Credit-Score-Predictor Public

    Machine Learning model built with Python and Scikit-Learn to automatically predict and classify bank customers' credit scores.

    Jupyter Notebook

  6. Gemini-Streamlit-Chatbot Gemini-Streamlit-Chatbot Public

    Interactive web-based chatbot application featuring a Streamlit frontend and powered by Google's Generative AI.

    Python