Repository containing portfolio of data analysis projects completed by me for academic, self learning, and hobby purposes. Presented in the form of Jupyter notebooks
- Email: luisokech@gmail.com
- LinkedIn: linkedin.com/in/luis-okech
AB Testing with Cookie Cats: Using statistical analysis to analyze an AB-test where we moved the first gate in Cookie Cats from level 30 to level 40. In particular, we will look at the impact on player retention on where the gates should be placed (level 30 or level 40)
Hypothesis Testing in Healthcare: Drug Safety: Perform hypothesis tests to determine if the adverse effects of a pharmaceutical drug are significant! You'll conduct several hypothesis tests using Python to determine if the adverse reactions of a hypothetical drug are significant. You'll also check if factors such as age significantly influence the adverse reactions.
Hypothesis Testing with Men's and Women's Soccer Matches: Perform a hypothesis test to determine if more goals are scored in women's soccer matches than men's! You will test the hypothesis to determine if women's international soccer matches result in more goals scored than men's.
- Tools: Pandas, Seaborn and Matplotlib
Python
olympics-data-exploration-prediction: The primary goal is to explore historical Olympics data to uncover patterns, trends, and factors that influence athletic performance. Furthermore, the project can involve predicting outcomes such as medal counts for countries, athletes' performance, or even the likelihood of breaking world records in specific sports.
Pet Box Subscription: Case study to reduce the cost of customer retention by improving brand loyalty. The first strategy is to launch a monthly pet box subscription in three months.
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Patients Healthcare: The goal of this Power BI healthcare project could be to analyze patient satisfaction, wait time efficiency, and departmental referral trends. By examining demographic factors such as age, gender, race, alongside patient satisfaction scores and wait times, the project can identify patterns and provide insights into improving healthcare access and operational efficiency. Additionally, exploring flagged administrative cases and their impact on patient experiences could help streamline hospital processes and enhance service delivery across different departments.
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Coffee Shop Sales: the goal could be to analyze and visualize sales performance, providing actionable insights into different aspects of the business. Here are some possible goals for the report or dashboard: Monitor Overall Sales Performance Identify Best-Selling Products Sales by Location:
