Data Scientist
Personal Business
- Streamlined data collection methods to minimize analysis errors.
- Automated repetitive tasks using scripting languages such as Python or R, saving time during the analytical process significantly.
- Created and implemented new forecasting models to increase company productivity.
- Utilized advanced querying, visualization and analytics tools to analyze and process complex data sets.
