Portfolio

MSBA

Portfolio of my coding projects, ranging from econometrics, data analysis, data science, machine learning, to deep learning. As a graduate student in Business Analytics, I’m proficient in a number of programming languages, with a particular affinity for Python. I have experience with data analysis and data science, statistical methods, machine learning, deep learning, amid other topics. I am fascinated with translating abstract ideas into tangible solutions and am particularly interested in the intersection of technology and practical applications.

Skills and Technologies

Programming Languages: Python, R, SQL
Data Analysis Tools: Jupyter Notebook, RStudio
Machine Learning Libraries: TensorFlow, PyTorch, scikit-learn
Database Management: PostgreSQL, MySQL, MongoDB
Cloud Platforms: Google Cloud Platform (GCP), Amazon Web Services (AWS)
Development Tools: Docker, VS Code
Other Tools: Git, Firebase, Tableau

Repository Structure

Portfolio/
├── AI-Research-Synthesizer/
│   ├── agents/
│   │   ├── __init__.py
│   │   ├── researcher.py
│   │   └── synthesizer.py
│   ├── utils/
│   │   ├── __init__.py
│   │   ├── nvidia_api.py
│   │   └── text_processor.py
│   ├── Photo.pdf
│   ├── README.md
│   ├── config.py
│   ├── main.py
│   ├── requirements.txt
│   └── setup_env.sh
├── github-repo-analyzer/
│   ├── main.py
│   ├── readme.md
│   ├── requirements.txt
│   └── styles.css
├── admin/
│   ├── index.html
│   ├── projects.html
│   ├── script.js
│   └── style.css
├── Credit_Risk_Analysis.Rmd
├── Housing_and_Phishing_Data_Analysis.Rmd
├── LSTM_Text_Modeling_Project.ipynb
├── Language_Modeling_Project.txt
├── Language_Modeling_Text_Analytics_project.ip
├── Logistic_Regression_CIFAR10_Analysis.ipynb
├── ML_Basics_with_Backpropagation_and_Gradient
├── PSID_Automatic_Data_Retrieval_Web_Driver.py
├── PSID_Data_Scraping_Automation.py
├── README.md
├── Student_Placement_Prediction.Rmd
├── deep_learning_language_project.ipynb
└── nltk_senses_embeddings.ipynb

Project Breakdown

Project Modules and Descriptions

| File | Summary | | --- | --- | | [github-repo-analyzer](https://github.com/stochastic-sisyphus/Portfolio/tree/main/github-repo-analyzer) | A tool for analyzing GitHub repositories starred by a specific user. It provides insights such as language distribution, star growth over time, and interesting repositories based on various metrics. | | [deep_learning_language_project.ipynb](https://github.com/stochastic-sisyphus/Portfolio/blob/main/deep_learning_language_project.ipynb) | Jupyter Notebook for a deep learning project focusing on language. | | [ML_Basics_with_Backpropagation_and_Gradient_Descent.ipynb](https://github.com/stochastic-sisyphus/Portfolio/blob/main/ML_Basics_with_Backpropagation_and_Gradient_Descent.ipynb) | Jupyter Notebook covering the basics of machine learning, backpropagation, and gradient descent. | | [nltk_senses_embeddings.ipynb](https://github.com/stochastic-sisyphus/Portfolio/blob/main/nltk_senses_embeddings.ipynb) | Jupyter Notebook for working with embeddings in natural language processing using the NLTK library. | | [Housing_and_Phishing_Data_Analysis.Rmd](https://github.com/stochastic-sisyphus/Portfolio/blob/main/Housing_and_Phishing_Data_Analysis.Rmd) | R Markdown file for analyzing housing and phishing data. | | [Logistic_Regression_CIFAR10_Analysis.ipynb](https://github.com/stochastic-sisyphus/Portfolio/blob/main/Logistic_Regression_CIFAR10_Analysis.ipynb) | Jupyter Notebook for analyzing the CIFAR-10 dataset using logistic regression. | | [Language_Modeling_Text_Analytics_project.ipynb](https://github.com/stochastic-sisyphus/Portfolio/blob/main/Language_Modeling_Text_Analytics_project.ipynb) | Jupyter Notebook for a text analytics project focused on language modeling. | | [PSID_Data_Scraping_Automation.py](https://github.com/stochastic-sisyphus/Portfolio/blob/main/PSID_Data_Scraping_Automation.py) | Python script for automating scraping PSID data. | | [Credit_Risk_Analysis.Rmd](https://github.com/stochastic-sisyphus/Portfolio/blob/main/Credit_Risk_Analysis.Rmd) | R Markdown file for analyzing credit risk. | | [LSTM_Text_Modeling_Project.ipynb](https://github.com/stochastic-sisyphus/Portfolio/blob/main/LSTM_Text_Modeling_Project.ipynb) | Jupyter Notebook for text modeling using LSTM (Long Short-Term Memory) neural networks. | | [Student_Placement_Prediction.Rmd](https://github.com/stochastic-sisyphus/Portfolio/blob/main/Student_Placement_Prediction.Rmd) | R Markdown file for predicting student placements. | | [PSID_Automatic_Data_Retrieval_Web_Driver.py](https://github.com/stochastic-sisyphus/Portfolio/blob/main/PSID_Automatic_Data_Retrieval_Web_Driver.py) | Python script for automatic data retrieval using a web driver for the Panel Study of Income Dynamics (PSID). | | [AI-Research-Synthesizer/main.py](https://github.com/stochastic-sisyphus/Portfolio/blob/main/AI-Research-Synthesizer/main.py) | Main Python script for the AI Research Synthesizer project. | | [AI-Research-Synthesizer/README.md](https://github.com/stochastic-sisyphus/Portfolio/blob/main/AI-Research-Synthesizer/README.md) | README file for the AI Research Synthesizer project. | | [AI-Research-Synthesizer/config.py](https://github.com/stochastic-sisyphus/Portfolio/blob/main/AI-Research-Synthesizer/config.py) | Configuration settings for the AI Research Synthesizer project. | | [AI-Research-Synthesizer/requirements.txt](https://github.com/stochastic-sisyphus/Portfolio/blob/main/AI-Research-Synthesizer/requirements.txt) | Requirements file for the AI Research Synthesizer project. | | [AI-Research-Synthesizer/setup_env.sh](https://github.com/stochastic-sisyphus/Portfolio/blob/main/AI-Research-Synthesizer/setup_env.sh) | Environment setup script for the AI Research Synthesizer project. | | [AI-Research-Synthesizer/agents/researcher.py](https://github.com/stochastic-sisyphus/Portfolio/blob/main/AI-Research-Synthesizer/agents/researcher.py) | Researcher agent for gathering research papers. | | [AI-Research-Synthesizer/agents/synthesizer.py](https://github.com/stochastic-sisyphus/Portfolio/blob/main/AI-Research-Synthesizer/agents/synthesizer.py) | Synthesizer agent for extracting insights from research papers. | | [AI-Research-Synthesizer/utils/nvidia_api.py](https://github.com/stochastic-sisyphus/Portfolio/blob/main/AI-Research-Synthesizer/utils/nvidia_api.py) | Utility functions for interacting with Nvidia API. | | [AI-Research-Synthesizer/utils/text_processor.py](https://github.com/stochastic-sisyphus/Portfolio/blob/main/AI-Research-Synthesizer/utils/text_processor.py) | Utility functions for processing text. | | [Docs/Data Science Guide.pdf](https://github.com/stochastic-sisyphus/Portfolio/blob/main/Docs/Data%20Science%20Guide%20.pdf) | A comprehensive guide covering various data science concepts, methodologies, and practical applications. |

Docs

This section contains a collection of technical documents and guides authored by me. These docs cover a range of data science topics, providing in-depth knowledge, practical tips, and valuable insights.

Data Science Guide: A comprehensive guide covering various data science concepts, methodologies, and practical applications.

About Me

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Vanessa B.