NAGA SHALINI TANNERU

- Developed multiple regression and classification models to predict the need for blood transfusion within 24 hours of trauma.

- Identified, statistically analyzed, and visualized the racial disparities in the amount of blood transfusion given among trauma patients.

- Created multiple XML files using Python from various data sources to push the metadata into a Health Information System (DHIS2).

- Mentoring graduate students from the Health Informatics and Applied Data Science program in the ’ INFO-I501 Introduction to Informatics’ course projects for Spring 2023.

- Providing tutoring sessions to students on SQL, Python Data Structures, Data Visualization, Simulation Models, Probabilities, Statistics, Hypothesis testing, and Machine Learning.

· Predictive Modeling: Developed and implemented predictive models to forecast energy production, system failures, or maintenance needs.

· Conducted cost-benefit analyses to assess the financial impact of solar energy projects.

· Managed solar-related databases using SQL, optimizing data storage and facilitating seamless integration of diverse datasets.

· A 25% reduction in operational downtime was achieved, enhancing the reliability and performance of solar operations by providing quicker access to critical information.