Data Analyst

PREETHI REDDY NOMULA

ad6rot@r.postjobfree.com +1-317-***-**** www.linkedin.com/in/preethireddynomula EDUCATION

Indiana University, Indianapolis, IN May 2024

Master of Science in Health Informatics.

GITAM University, Telangana, India April 2022

Bachelor of Pharmacy.

TECHNICAL SKILLS

Languages: Python, SQL, R, XML, HTML.

Data Analytics: EDA, Data Visualization, Data Modeling, Database Management, Scikit-Learn, Pandas, Numpy, Plotly, Scipy, Matplotlib, Regression, Clustering.

Software Tools: MySQL, Tableau, PowerBI, Excel, Clinical Decision Support Systems, Clinical Information Systems, Microsoft Office, Gantt Chart, JupyterHub, R studio, Oxygen XML Editor, GitHub. EHRs: Athenahealth, Libre Health, OpenEMR.

Healthcare Standards: ICD-10, RxNorm, HL7, SNOMED, LOINC, CDA. PROFESSIONAL EXPERIENCE

Cloud IT Solutions Inc. Data Analyst Intern June 2024 - Present

• Here I Engage in comprehensive data extraction, analysis, and visualization, focusing on healthcare data and health insurance data. Utilizing SQL and Python for data manipulation, ensuring accurate and efficient data handling, and performing Exploratory Data Analysis

(EDA) to uncover insights and trends within the data.

• Also Developing predictive models to identify key health trends and patterns, contributing to data-driven decision-making processes to enhance the quality and accessibility of healthcare data, directly supporting organizational objectives and improving health outcomes. BioHealth Informatics Research Centre, Indiana University Research Data Analyst Jan 2023 - May 2024

• Extracted and integrated data from global health databases and Electronic Health Records (EHRs) to support various research initiatives.

• Enhanced efficiency and accuracy of data management frameworks through detailed analysis using SQL and Python.

• Acquired advanced technical skills in SQL and Python through certified training, significantly boosting data manipulation and analytics capabilities within a research setting.

The Polis Centre Project Management Intern Aug 2023 - Jan 2024

• Contributed to the NHANES project, a CDC initiative assessing the health and nutritional status of the U.S. population, ensuring timely and high-quality project deliverables.

• Coordinated comprehensive data collection efforts and contributed to thorough analysis, enhancing stakeholder communication and decision-making through detailed project reports.

• Supported project leads in planning and execution, including scheduling, resource allocation, and risk management, gaining hands-on experience in effective project management practices. Luddy School Informatics, Computing, and Engineering Graduate Teaching Assistant Aug 2023 - April 2024

• Mentored graduate students from Health Informatics in the “INFO – B530 Foundations of Health Informatics” course providing guidance and mentorship in health informatics principles.

• Evaluated and provided constructive feedback on assignments, significantly enhancing student comprehension and application of health informatics theories and practices.

• Conducted personalized tutoring sessions, reinforcing key concepts and techniques, fostering a deeper understanding and practical application of the subject matter.

Indiana University HR Data Entry Specialist Aug 2022 - May 2024

• Managed accurate entry and updating of academic and employment records for students in the HR database, ensuring data integrity and compliance with privacy regulations.

• Guided administrative processes related to student employment and Social Security numbers, leveraging strong data management skills to maintain organized and accessible records.

SURA Labs Clinical Data Analyst Jan 2022 - July 2022

• Analyzed pharmaceutical and health data involving several patient records, focusing on antibiotic drug usage. Employed machine learning algorithms such as Random Forest to enhance data insights and improve drug usage protocols.

• Applied Python libraries for robust data manipulation and model building, performing EDA to ensure accuracy and reliability in the study of antibiotic usage patterns.

• Executed sophisticated SQL queries to manage the extraction, transformation, and loading of extensive health data, ensuring data integrity and supporting strategic healthcare decisions.

PROJECTS

Integration of Clinical Elements for Healthcare Interoperability HL7 Clinical Document Architecture(CDA), BPMN, UML, XML

• Identified and applied clinical terminologies and ontologies, enhancing healthcare data representation accuracy.

• Designed and implemented model diagrams using BPMN and UML, improving understanding of healthcare processes and interoperability layers.

• Developed CDA-based mockups to showcase the practical application of interoperability standards, leading to a 40% increase in patient data exchange efficiency.

Identifying Key Factors Associated with the Risk of Developing Diabetes R, Biostatistics

• Utilized biostatistics techniques to identify key determinants associated with diabetes onset using a Kaggle dataset.

• Employed regression analysis to predict the likelihood of diabetes development based on specific health metrics. OpenEMR Usability and Performance Evaluation OpenEMR, Microsoft Excel, PowerPoint

• Conducted an in-depth assessment of OpenEMR, evaluating its usability and performance to identify enhancement opportunities and ensure optimal functionality.

• Analyzed system functionality through case studies on four patients, addressing usability challenges to enhance patient care quality. US Health Insurance – Exploring Rates, Benefits, and Providers SQL, Python, Tableau, Power BI, Django

• Cleaned and imported US health insurance datasets from Kaggle into MySQL. Utilized Tableau, Power BI, and Matplotlib for data visualization.

• Developed a user-friendly web page using HTML and Django, ensuring seamless interaction between the web page and the MySQL database.

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

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

• Conducted detailed data analysis, collection, visualization, and extraction to discern lifestyle impacts on obesity, implementing predictive modeling to estimate obesity likelihood.

CAPSTONE PROJECT

Exploring Maternal Well-being: A Proposed Model for Comprehensive Statistical Analysis of Predictors for Suicide Attempts Among Postnatal Mothers Excel, SQL, Python, Machine Learning, MS Office

• Investigated predictive factors of antenatal depression and their correlation with postpartum depression outcomes, utilizing a dataset of 1,504 individuals to drive insights and inform interventions.

• Constructed a predictive model using antenatal indicators to identify at-risk individuals for postpartum depression, leading to a 40% increase in early interventions and improved maternal healthcare outcomes.

• Applied expertise in data analytics and machine learning to enhance healthcare informatics practices. CERTIFICATIONS & RECOGNITIONS

• Introductory to SQL, SQL for Data Analysis, and Python for Data Analytics Certifications.

• Granted with BHI – SoIC Graduate Scholarship, 2022 – 2024.

• Awarded as the best debater, in a Debate Conducted on National Pharmacy Day, 2019.

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

• Presented “Most Talented Volunteer;” ranked first in the NGO - ’StreetCause Hyderabad’.

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