Instacart aim in targeting customers with applicable marketing to gauge sales of their products. Perform an exploratory analysis of Instacart data to derive insights and suggest strategies based on provided criteria. Over 32,000,000 rows of order data are stored in open-source data sets that are available online via Instacart.
Additionally, customer data sets created for this study on using Python to analyze data sets were examined in this analysis. As Instacart’s data analyst, I used Jupyter Notebook to run code and generate graphs on issues like the busiest hours of the week for the app, the most popular grocery sections, and the average age of users placing orders through the app.
The brick and mortar movie rental business Rockbuster is up against fierce competition from internet streaming services like Netflix and Amazon Prime. Management has resolved that they must establish their own online video streaming business in order to remain competitive.
I performed database queries for Rockbuster using PostgreSQL and SQL as a data analyst to support the launch strategy of this new online video service.
Planning for the flu season, when more hospital staff is required, will be aided by analysis. The final analysis will look at trends to anticipate staffing needs across the nation.
Used historical data to help plan for staffing demand. Cleaning the data and integration of data in Excel and Visualize using Tableau. 'Fight the Flu'. Other Tableau projects can be found too with the link provided above
Provide analytical support and assess client risk to provide data insights against money laundering, using big data concepts. I determine the leading factors that contribute to client loss and build a decision tree to support the customer service department based on analysis of the data provided.
The public can access and examine raw FIFA20 stats from FIFA20 games through the official FiFA2020 API. In my independent project, I examine this data to determine the connection between a player's characteristics and their pay. With the help of these relationship, I was able to suggest players whose wages tend to rise as well as which player characteristics have an impact on wage.