Wine and Charcuterie Dashboard
An interactive wine, cheese, and meats dashboard that combines PostgreSQL, Flask App, HTML/CSS, Plotly, JavaScript, and Leaflet.
An interactive wine, cheese, and meats dashboard that combines PostgreSQL, Flask App, HTML/CSS, Plotly, JavaScript, and Leaflet.
Using data from the Wine and Charcuterie Dashboard, several machine learning models were used (Multivatiate Linear Regression, Support Vector Regression, and Neural Networks) to try to predict the quality of wine (using Global Wine Score as the measure of quality).
Explored the popularity of indoor and outdoor venues and their seasonal fluctions in popularity, the relationship between price of offered servings and the venue's rating, as well as the relationship between venue rating and distance from the city.
Created an ERD and database using SQL for analysis about a corporation's database of employees.
A dashboard created using previous analysis to display and explore the various iterations of analysis and findings.
Created an interactive dashboard to view individual results of a dataset using bar charts and bubble charts. D3 was used to read in JSON data and take user input to navigate the site.
I am a creative person, both with my approach to solving problems and my hobbies outside of analytics. I bring unique ideas to the table and can work equally well in a group or individually. Ambition is a strong guide in my life; I work diligently and ask questions when needed.