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gustavesg/README.md

Hello 👋

👷 I’m currently work as Pricing Analyst at Creditas;

📝 Applied Mathematican at University of Sao Paulo;

📧 How to find me: gustavosg.2003@gmail.com

👨‍🦱 Pronouns: he/his

Proficient in:

🐍 Python

🏗️ SQL

📗 Excel

Advanced knowledge in:

Data Analysis, Data Processing, Forecast Modeling: Logistic and Linear regression, Decision Tree, KNN, Esemble Methods and others; Demand and Supply Analysis; Elasticity Analysis; Variable Optimization Algorithms.

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  1. Masters-Degree Masters-Degree Public

    Made to save my masters degree works and codes

    Python

  2. TCC TCC Public

    Graduation project on credit scoring: developed a dynamic model that adapts to changing business needs and risk appetite through adjustable parameters.

    Jupyter Notebook

  3. Titanic-Challenge Titanic-Challenge Public

    Titanic survival prediction using Kaggle data. Built models to classify passengers as survivors or not based on features like class, relatives aboard, and other travel details.

    Jupyter Notebook

  4. Exploring-Neural-Networks Exploring-Neural-Networks Public

    Digit recognition using data analysis, traditional models, and neural networks (CNNs).

    Jupyter Notebook

  5. MAE0339 MAE0339 Public

    This course combines stochastic processes, Monte Carlo simulation, and Markov models to study real-world phenomena through computational experiments and statistical analysis.

    Jupyter Notebook

  6. Basic-Statistics-Courses-Monitoring Basic-Statistics-Courses-Monitoring Public

    Notes and archives of basics statistics courses monitoring program