Preethi Reddy Nomula

ad3yp0@r.postjobfree.com • (***) *** - 3329 • 335 W Ninth Street, Indianapolis, IN 46202

Medical Informatics Graduate

Pharmacist

Summary of Qualifications

• Master of Science in Health Informatics from Indiana University, with a solid foundation in SQL, Python, R programming, machine learning, and database management systems.

• Bachelor of Pharmacy from GITAM University, with comprehensive knowledge in biochemistry, biostatistics, biotechnology, and pharmaceuticals.

• Proficient in R, Python, HTML, XML, SQL, and familiar with Microsoft Windows and Mac OS X operating systems. Experienced in using OpenEMR and EndNote.

• Demonstrated experience as a Teaching Assistant/Tutor at Luddy School of Informatics, enhancing student understanding in health informatics, and as a Front Desk Representative, mentoring students on academic and employment matters.

• Internship experience in project management with a focus on health and nutritional status assessments for the U.S. population.

• Led and collaborated on projects related to telehealth platforms, healthcare interoperability, diabetes risk factors, EHR system evaluation, health insurance analysis, hospital discharge processes, and obesity risk prediction, highlighting skills in data analysis, machine learning, and software development. Career Accomplishments

• Collaborated with a Professor at the Luddy School of Informatics, Computing, and Engineering to mentor over 110 graduate students in "Foundations of Health Informatics," enhancing their learning experience through grading, personalized feedback, and tutoring.

• Led a project management internship at the Polis Center, contributing to the NHANES project under the CDC, focusing on health and nutritional status assessments of the U.S. population through data collection, analysis, and report writing.

• Led the design and implementation of a machine learning model to predict the risk of obesity based on daily and dietary behaviors, demonstrating proficiency in SQL, Python, and data analysis techniques.

• Developed and executed a comprehensive evaluation of OpenEMR, an open-source Electronic Health Record (EHR) system, identifying usability challenges and implementing improvements to enhance patient care quality through detailed system functionality analysis.

Professional Experience & Projects

Luddy School of Informatics, Computing, and Engineering August 2023 – February 2024 Role: Teaching Assistant/ Tutor

• Collaborating with Professor as a teaching assistant to facilitate and mentor a class of 60 graduate students and a class of 50 graduate students enrolled in “Foundations of Health Informatics”.

• Responsible for grading assignments and providing constructive feedback to aid learning.

• Responsible for tutoring and helping students with their assignments and subject-related queries and providing constructive feedback to aid in a better understanding of the course. Luddy School of Informatics, Computing, and Engineering August 2022 - Present Role: Front Desk Representative

• As the front desk representative for the HR Department, I mentor students on academics, employment, and SSNs, strengthened by strong data management skills.

• Proficient in using Microsoft Office, particularly Word, and Excel. Polis Center, Indianapolis, IN September 2023 – January 2024 Role: Project Management Intern

• Contributed to the NHANES project, a critical program under the CDC aimed at assessing the health and nutritional status of the U.S. population.

• Engaged in Data Collection, Analysis, and Report writing. Integration of Clinical Elements for Healthcare Interoperability Technologies used: HL7 Clinical Document Architecture (CDA), BPMN, UML, XML

• Collaboratively identified and applied relevant clinical terminologies and ontologies, enhancing the accuracy of healthcare data representation. Designed and implemented model diagrams using BPMN and UML, improving understanding of healthcare processes and interoperability layers.

• Developed CDA-based mockups, demonstrating the practical application of interoperability standards in healthcare documentation and communication. Contributed to a streamlined process for exchanging patient information, thereby facilitating more efficient and effective patient care. Identifying Key Factors Associated with the Risk of Developing Diabetes Technologies used: R, Biostatistics

• Utilized biostatistics techniques to identify key determinants associated with the risk of diabetes onset, using a dataset sourced from Kaggle.

• Employed regression analysis to quantitatively predict the likelihood of diabetes development based on specific health metrics.

OpenEMR Usability and Performance Evaluation

Technologies used: OpenEMR, Microsoft Excel, PowerPoint

• Conducted a comprehensive evaluation of OpenEMR, an open-source Electronic Health Record (EHR) system, to assess its usability and performance.

• Performed a detailed analysis of system functionality through case studies on four patients, encompassing 24 different procedures.

• Identified and addressed usability challenges to enhance patient care quality. US Health Insurance – Exploring Rates, Benefits, and Providers Technologies used: SQL, Python, Tableau, Power BI, Django

• In this project, two US health insurance datasets from Kaggle were cleaned using Excel and imported into MySQL. Various data visualization tools like Tableau, Power BI, and Matplotlib were used for generating insightful 2D and 3D graphics, such as bar charts.

• A front-end user-friendly web page was developed using HTML in Visual Studio, with Django facilitating the connection between the web page and the MySQL database, ensuring seamless user interaction with the data. Enhancing Hospital Discharge Processes through Readmission Reconciliation Technologies used: SMS Notification Systems, Content Resource Management (CRM), PHP, API Integration

• Initiated a hypothetical project aimed at minimizing hospital readmissions through a comprehensive strategy integrating SMS notifications, patient education, and follow-up care coordination.

• Developed a novel notification tool to ensure timely follow-up with discharged patients, leveraging visual aids to enhance understanding and compliance.

Predicting the Risk of Obesity Based on Daily and Dietary Behaviors Technologies used: SQL, Python, Machine Learning

• Developed a predictive machine learning model to analyze the correlation between daily and dietary behaviors and obesity risk.

• Undertook a detailed process of data analysis, collection, visualization, and extraction to discern lifestyle impacts on obesity, and implemented predictive modeling to estimate obesity likelihood based on these factors. Education

Master of Science in Medical Informatics INDIANAPOLIS, IN INDIANA UNIVERSITY

Bachelor of Pharmacy HYDERABAD, INDIA

GITAM UNIVERSITY

Technical Skills

Languages and Models: R, Python

Web Application: HTML, XML

Databases: SQL

Operating Systems: Microsoft Windows, Mac OS X

Other tools: OpenEMR, EndNote

External Activities

• Associate Divisional President: StreetCause, Hyderabad, I worked for this NGO in India during my undergraduate at GITAM University for the academic year 2020 – 2021.

• Divisional Vice President: StreetCause, Hyderabad, I worked for the old age Home Department as a part of this NGO to help and take care of the senior citizens during the year 2019 – 2020.

• Volunteer: StreetCause E-force, Hyderabad, I actively volunteered and worked for the StreetCause E-force department to help them organize many fundraiser events to help the underprivileged society. Recognitions

• Recognized by the StreetCause Board of Directors as the best social worker.

• Awarded “Most Talented Volunteer;” ranked first in the Organization.

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