Andeno
Data Scientist
Spring 2021
- Worked on historical transaction data using Jupyter Notebooks for user analytics and visualization.
- Performed multiple statistical tests on gathered data for algorithm improvement and outlier detection.
- Coded Python scripts for data labelling, cleaning, and extraction for predictive tendency models for hundreds of users.
- Used Python libraries: Pandas, Matplotlib, CSV, Numpy, Scipy.Stats, and Seaborn
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