Skills

Below, I go into detail regarding some of the skills I've acquired over the years. This isn't a fully-exhaustive list, but does highlight some of the things that I am both skilled in and enjoy. The below topics I accomplish through a mix of Python and SQL. 

• Time series forecasting (Univariate and Multivariate)

  • Time series forecasting is a critical skill for any data professional hoping to contribute to a forward-looking organization. I typically utilize a mix of neural networks and traditional time series techniques to meet the needs of the project. 

• LLMs

  • • Specifically, using LLMs to facilitate data processing and extraction.

• Automated Web Data Extraction

  • Web scrapes can be used to build large datasets for future analysis in a quick and efficient manner. I'm experienced in using various scraping frameworks, and can arrange to have your custom scrape run in a short timeline. 

• Data Cleaning/Pre-Processing

  • Cleaning data is a crucial part of applied data analytics, and is necessary before fitting any models. I've frequently worked with messy data, and I'm willing to spend to the time to properly prepare data for analysis.

• Regression Models

  • The core of statistical machine learning, and often these simple solutions work well in practice. They are computationally light (relatively) and can yield solid results. In opportunities where it's possible, I'll often fit a linear model as a benchmark before testing more complicated methods. 

• Classification Models

  • Skilled in both supervised and unsupervised methods

• Deep Learning

  • For situations where higher level of accuracy is more important, and model transparency matters less, deeper models are an option. I'm most familiar with Keras and Tensorflow, and I'm studying PyTorch.

• Data Visualization 

  • Power BI, Tableau, plotly, Bokeh, Seaborn

    • I'm very experienced in visualizing data for professional audiences, and I seek to present complicated findings in a simple manner that is easily visualized and understood.

• Natural Language Processing

  • I'm well versed in analyzing text data, and have worked on projects ranging from a few dozen pages to hundreds.