About Stephanie ozor:
As a data analyst, I am an analytical problem solver who enjoys developing data-driven solutions to complex problems. I am passionate about extracting actionable insights from data and communicating them to stakeholders. I am proficient in a variety of data analysis and visualization tools and am at ease working with large and complex datasets.
Experience
I have experience as a data analyst and I have a strong track record of success in data analysis, reporting and data visualization. I have also worked with a variety of software tools to create automated reports. My experience includes working with large enterprise systems, as well as working with smaller datasets. I am confident in my ability to analyze data and generate meaningful insights.
Education
I am currently pursuing a master's degree in big data analytics at Derby University.
Relevant modules: Big data analytics, Visualization, Statistical modeling, Business Analytics.
projects
- Applied various statistical techniques like ANOVA, t.test, and linear regression in R to connect the hypothesis to the data, assumptions, and consequences of what was discovered (or not discovered ) using.
- Used Python to analyze data through different python libraries like NumPy, matplotlib, pandas, seaborn, and IDEs like Jupiter notebook and Vscode.
- Big Data analytics: linear regression algorithms(for prediction) and Random forest (for classification).
- Using SaS to solve some business problems
- Making use of Power BI and tableau to visualize data for easy understanding.
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