Neringa Pannem

I had the opportunity to work on several projects that involved the application of various data analysis tools and techniques.

These included Python libraries such as Pandas, Numpy, Matplotlib, Seaborn, Plotly Plot, and Scikit-Learn, as well as visualisation tools like Tableau and Power BI.

Additionally, I gained experience in cloud computing using AWS-S3 Buckets and Redshift, running Python scripts with DockerImage, and working with MySQL, Dbeaver, Airflow, and GitHub repositories.

I am familiar with popular Python libraries like Pandas, NumPy, Seaborn, Plotly, Sklearn and have experience with machine learning projects using various algorithms.

This experience has allowed me to acquire the technical skills and abilities necessary to succeed in the field of data analysis.

Collecting, processing, testing and analyzing of blood and other body fluid samples. Documentation in the computer system. Carrying out regular quality controls. Learned and adapted quickly to new technology and software applications. Prepared samples for shipping and disposed of bodily fluids in proper containers. Maintained documentation on tests performed in lab. Contacted physicians, nursing stations, or reference laboratories for resolution assistance with unusual test orders.

Maintained documentation on tests performed in lab.Tracked collected specimens by initialing, dating, and noting times of collection. Gained extensive knowledge in data entry, analysis and reporting. Taking blood samples and urological smears. Preparing, testing and analyzing blood and other body fluid samples.Administrative work, appointment coordination.