Vajinapally Prathyusha

As a recent Master’s graduate in Health Informatics from Indiana University and a Bachelor of Dental Surgery from Mamata Institute of Medical Sciences, I am dedicated to leveraging data to drive innovations in healthcare. My journey from a clinical intern to a data engineer intern has equipped me with a unique blend of clinical understanding and technical expertise, including advanced skills in Python, R, SQL, and machine learning.

In my current role as a Junior Data Analyst at GTechnologies Pty Ltd, I led the integration of diverse data sets into a centralized AI-integrated EMR system, improving patient throughput efficiency by 14% and enhancing data governance. My experience includes developing AI-driven systems to enhance patient care, conducting advanced analyses to improve predictive model accuracy, and contributing to healthcare policy development through data analysis. I have utilized tools like Tableau and Power BI to create insightful data visualizations that drive decision-making.

Notable projects include analyzing osteoporosis determinants, predicting social anxiety in online gamers, and developing AI-driven tools for disease outbreak prediction. These projects have allowed me to apply machine learning techniques, improve model predictability, and ensure data security and performance optimization.

I am now seeking full-time opportunities where I can contribute to impactful healthcare projects, leveraging my skills in data analysis, machine learning, and healthcare informatics to improve patient outcomes and healthcare efficiency. I am especially interested in roles where I can collaborate with cross-functional teams to solve complex problems and make a positive difference in the healthcare sector.

Let's connect to explore how we can drive forward healthcare innovation together.

Master’s in Health Informatics | Indiana University | Indianapolis, IN | April 2024 | GPA: 3.7/4.0

During my time at Indiana University, I gained comprehensive knowledge and hands-on experience in health informatics, focusing on the intersection of healthcare, technology, and data analytics. Here are some key highlights from my master's program:

Advanced Coursework: Completed courses in Health Data Science, Electronic Health Records, Clinical Decision Support Systems, Data Mining, and Big Data Analytics. These courses equipped me with the technical skills and theoretical knowledge necessary to handle complex health data and implement data-driven solutions.

Capstone Project: Led a capstone project on upgrading the BHIRC Project's health database. This involved improving data accessibility by 40% for over 10,000 records and enhancing data accuracy by 30%. The project demonstrated my ability to manage large datasets and contribute to significant improvements in healthcare data management.

Research Experience: Worked as a Research Assistant, where I conducted analysis on U.S. health informatics data. My research contributed to over 20 state-level policy developments, ensuring compliance with privacy regulations and supporting equitable healthcare access.

Technical Skills: Gained proficiency in programming languages and tools such as Python, R (ggplot2), SQL, Tableau, Power BI, and SPSS. These skills enabled me to perform complex data analyses and create impactful visualizations.

Interdisciplinary Approach: Emphasized the importance of integrating healthcare knowledge with information technology to develop innovative solutions. Collaborated with healthcare professionals, IT experts, and policy makers to address real-world health informatics challenges.

This educational background has provided me with a strong foundation in health informatics, data analysis, and visualization, making me well-prepared to contribute effectively to the role of Data Communications Manager at the Climate and Community Project. My master's program has equipped me with the skills and knowledge necessary to manage and communicate complex data, supporting the organization's mission of advancing climate, racial, and class justice through impactful data-driven insights.