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.
- 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
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.ipynbProject Modules and Descriptions
| File | Summary |
|---|---|
| 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 | Jupyter Notebook for a deep learning project focusing on language. |
| ML_Basics_with_Backpropagation_and_Gradient_Descent.ipynb | Jupyter Notebook covering the basics of machine learning, backpropagation, and gradient descent. |
| nltk_senses_embeddings.ipynb | Jupyter Notebook for working with embeddings in natural language processing using the NLTK library. |
| Housing_and_Phishing_Data_Analysis.Rmd | R Markdown file for analyzing housing and phishing data. |
| Logistic_Regression_CIFAR10_Analysis.ipynb | Jupyter Notebook for analyzing the CIFAR-10 dataset using logistic regression. |
| Language_Modeling_Text_Analytics_project.ipynb | Jupyter Notebook for a text analytics project focused on language modeling. |
| PSID_Data_Scraping_Automation.py | Python script for automating scraping PSID data. |
| Credit_Risk_Analysis.Rmd | R Markdown file for analyzing credit risk. |
| LSTM_Text_Modeling_Project.ipynb | Jupyter Notebook for text modeling using LSTM (Long Short-Term Memory) neural networks. |
| Student_Placement_Prediction.Rmd | R Markdown file for predicting student placements. |
| 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 | Main Python script for the AI Research Synthesizer project. |
| AI-Research-Synthesizer/README.md | README file for the AI Research Synthesizer project. |
| AI-Research-Synthesizer/config.py | Configuration settings for the AI Research Synthesizer project. |
| AI-Research-Synthesizer/requirements.txt | Requirements file for the AI Research Synthesizer project. |
| AI-Research-Synthesizer/setup_env.sh | Environment setup script for the AI Research Synthesizer project. |
| AI-Research-Synthesizer/agents/researcher.py | Researcher agent for gathering research papers. |
| AI-Research-Synthesizer/agents/synthesizer.py | Synthesizer agent for extracting insights from research papers. |
| AI-Research-Synthesizer/utils/nvidia_api.py | Utility functions for interacting with Nvidia API. |
| AI-Research-Synthesizer/utils/text_processor.py | Utility functions for processing text. |
| Docs/Data Science Guide.pdf | A comprehensive guide covering various data science concepts, methodologies, and practical applications. |
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.