Dug22's Portfolio
Software Engineering | Data Science
Software Engineering | Data Science
As a data scientist and software engineer, I am passionate about creating data-driven products. With a strong background in both data science and software engineering, I have a particular interest in AI, data analysis, data visualization, and database management. Here are a few technologies I am most comfortable with, and have professional experience working with:
Carpentry is a Java-based dataframe library, analogous to shaping wood into useful objects. It offers features for data loading, exporting, cleaning, transformation, filtering, and summarization.
A top-tier Jupyter like notebook software for Java developers. Better alternative than downloading Java supported kernels for Jupyter notebook
LockSpot is a machine learning tool that allows users to input ciphertext and receive a conducted analysis of what cipher algorithm was most likely used to encrypt it.
Web Fisher is an AI-powered web scraping app that leverages technologies like Ollama, Playwright, and Spring AI. It extracts valuable web content and utilizes large language models to provide insightful answers to your queries.
PDF Pinpoint is a simple local chatbot using retrieval-augmented generation (RAG). It leverages large language models to process and search multiple PDF documents, helping users quickly find answers.
Tenoner is a lightweight, Java-based supervised machine learning library that allows developers and researchers to efficiently build, train, and evaluate custom classifier models.
If you have an interest in data science related topics such as machine learning, data visualization, and more, then have a look at my blog. You can visit my blog via here: The Data Science Wishlist - A data science blog that covers various data science topics that you wish people would cover.
If you have any questions, suggestions, or want to collaborate on a project, feel free to reach out to me! I am always open to new opportunities, discussions, and learning from others. You can explore my work, get in touch with me, or check out the various repositories I’ve contributed to on GitHub. I look forward to connecting!