Tina Sterite - Business Intelligence Engineer, AI-Powered Data Analytics Specialist, and Python Developer
Innovative Business Intelligence Engineer with a passion for transforming complex data into actionable insights. With over 15 years of experience in data analytics, report development, and project management, I specialize in leveraging tools like Tableau, Alteryx, and SQL to drive business decisions. My expertise spans from traditional BI to cutting-edge AI-powered analytics, allowing me to bridge the gap between technical implementation and strategic business needs. As a lifelong learner currently pursuing further education in Data Science, I'm committed to staying at the forefront of technology trends. My goal is to empower organizations with data-driven solutions that enhance efficiency, visibility, and decision-making processes.
Contact me to learn more and engage my skills on your project.
Application using Pandas, Plotly, Matplotlib, Streamlit.
Below is a link to my Tableau Public profile and in this repo (linked above) I provide a summary and link to each dashboard.
Sample Tableau Dashboards and Stories demonstrating skills.
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" }