Sebastian graduated ASU in May ’26 with a 4.00 major GPA, B.S. in Data Science. He has been accepted into UCI’s Masters of Data Science on Fellowship and Johns Hopkins’ Masters of Applied and Computational Math program, along with additional programs.
Github: https://github.com/sprestia2009-svg
- Stock Market Pattern Recognition (In Progress) — Independent Project
- Abstract: Developing a pattern recognition model and applying it to financial data (Custom Dataset)
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- Abstract: Developing a pattern recognition model and applying it to financial data (Custom Dataset)
- Symbolic Regression (In Progress) — ASU Research Project
- Abstract: Developing Symbolic Regression models to discover new mathematical formulas..
- Mole Detection (In Progress) — Independent Project
- Abstract: Developing an AI model to identify Malignant moles from Benign
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- Abstract: Developing an AI model to identify Malignant moles from Benign
- Finding Best Taxi Routes in NYC — Capstone Project
- Abstract: (my part of team project) Identified the best neighborhoods for NYC taxis through clustering and KDE heatmaps based on a combination of demand, average cost, and trip length (Dataset from Kaggle)
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- Abstract: (my part of team project) Identified the best neighborhoods for NYC taxis through clustering and KDE heatmaps based on a combination of demand, average cost, and trip length (Dataset from Kaggle)
- Predicting Movie Box Office Revenue with Model — End of Class Project
- Abstract: Developed a Multiple Linear Regression (MLR) model to predict Movie Box Office using Ridge Regularization; tested model adequacy (Custom Dataset)
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- Abstract: Developed a Multiple Linear Regression (MLR) model to predict Movie Box Office using Ridge Regularization; tested model adequacy (Custom Dataset)
- Impact of the Syrian Civil War on HDI — End of Class Project
- Abstract: Analyzed changes in Syria’s Human Development Index from pre-civil war and civil war periods; analyzed possible predictors (Dataset from the World Bank)
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- Abstract: Analyzed changes in Syria’s Human Development Index from pre-civil war and civil war periods; analyzed possible predictors (Dataset from the World Bank)
- CIFAR-10 & CIFAR-100 Image Classification — Independent Project
- Abstract: Made PyTorch-based CNN architectures for classification on both the CIFAR-10 and CIFAR-100 datasets
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- Abstract: Made PyTorch-based CNN architectures for classification on both the CIFAR-10 and CIFAR-100 datasets
- MNIST Digit Classification — Independent Project
- Abstract: Made both a PyTorch-based ANN and a PyTorch-based CNN classifier for the MNIST digit dataset
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- Abstract: Made both a PyTorch-based ANN and a PyTorch-based CNN classifier for the MNIST digit dataset
- FashionMNIST Classification — Independent Project
- Abstract: Made both a PyTorch-based ANN and a PyTorch-based CNN classifier for the FashionMNIST clothes dataset
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- Abstract: Made both a PyTorch-based ANN and a PyTorch-based CNN classifier for the FashionMNIST clothes dataset
- Fish Classifier — Independent Project
- Abstract: Made a PyTorch-based CNN architecture to classify a fish as scary or not (Custom Dataset)
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- Abstract: Made a PyTorch-based CNN architecture to classify a fish as scary or not (Custom Dataset)
- ANN from Scratch — Independent Project
- Abstract: Used the Numpy python module to build an ANN completely from scratch for the MNIST dataset (Custom Dataset)
ANN & CNN are types of AI
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For more information, check out his LinkedIn.