Business Intelligence Engineer passionate about working with data in many business enviroments. My technical areas of expertise include Oracle SQL, Tableau development, Alteryx development, PostgreSQL, and Python, in Docker and Windows environments. I have experience with several of Python packages for analytics. My portfolio will include many projects where I have applied my data analytics, statistics and machine learning skills.

Contact me to learn more and engage my skills on your project.

Application using Pandas, Plotly, Matplotlib, Streamlit.

Jupyter Notebook that steps through using Snowfakery (YAML file) to generate fake data in a PostgreSQL database, then query this data and use pandas, seaborn, matplotlib to visualize data. (Note: booking dates and stay start dates in Snowfakery could use some faked trends, they're currently spread evenly.)

Fun, dockerized, streamlit app that allows you to generate books about any subject you want. This project uses streamlit, groq, llama3, agents, weasyprint.

This was a fun project to fork and get up and running, and to add to. Great example of using agents to generate stock analsys reports. Streamlit, yfinance, plotly, LLMs, weasyprint.

Work done with https://www.postgresqltutorial.com/ to become PostgreSQL certified.

{"Author": "Tina Sterite", "Updated": "2028-08-16" }