- Strong programming skills, particularly in languages such as Python and R.
- Experience with data analysis and statistical modeling.
- Familiarity with machine learning algorithms and techniques.
- Experience with data visualization tools, such as Matplotlib, Seaborn, and Tableau.
- Strong communication skills, with the ability to present findings to both technical and non-technical audiences.
- Experience working with large, complex data sets and a strong understanding of database management.
- Familiarity with cloud computing platforms, such as Amazon Web Services (AWS) and Google Cloud Platform (GCP).
- Ability to work independently and in a team setting.
- Strong problem-solving skills and the ability to think critically.
- A curiosity about data and a desire to continue learning and staying up-to-date with the latest developments in the field.
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- Developed and implemented machine learning models to improve customer segmentation and target marketing efforts
- Analyzed large data sets to extract insights and inform business decision making
- Created data visualizations to communicate findings to stakeholders
- Collaborated with cross-functional teams to identify opportunities for data-driven decision making