Machine Learning Data Analyst

KAVYA YALAVARTHI

Indianapolis, Indiana, zip- ****2 +1-734-***-**** ****************@*****.***

Summary

Dedicated Health Informatics professional with experience in data analysis, machine learning, and clinical research. Adept at leveraging programming and data visualization to enhance healthcare processes and decision-making EDUCATION

Indiana University Purdue University - IUPUI

Master of Science in Health Informatics Jan 2023 – Dec 2024 GPA:3.7 Relevant Coursework: Python, MySQL, MS Excel, Power BI, Healthcare Terminologies, Project Management, Data Visualization, and Electronic Health Record (EHR) Systems. Dr. N.T.R University of Health Sciences

Bachelor of Dental Surgery (B.D.S) Aug 2011 – Dec 2016 GPA:3.3 INTERNSHIP EXPERIENCE

Data Analyst Intern GTECHNOLOGIES PTY LTD – Remote Aug 2024 – Dec 2024

• Performed data collection, cleaning, and validation for AI-integrated EMR systems.

• Conducted EDA to identify trends and drive improvements.

• Developed data visualizations and reports, delivering actionable insights.

• Built and optimized machine learning models, ensuring robust feature engineering.

• Assisted in deploying ML models with strict data privacy and security adherence. Community Resource Mapping Specialist.

Randolph County Caring Community Partnership (RCCCP) – Remote May 2024 – August 2024

• Developed a resource mapping system using KUMU for enhanced accessibility of community health resources.

• Conducted data collection on social determinants of health, producing visualizations to support decision-making and public awareness.

TECHNICAL SKILLS

• Programming Languages: Python, R, SQL

• Markup Languages: XML, HL7, HTML

• Healthcare Data Standards: SNOMED, ICD, LOINC, CPT, Rx Norm, HIPAA

• Tools: Jupyter, R-studio, Oxygen XML Editor, Microsoft Office tools, phpMyAdmin, MySQL Workbench, Tableau, Power BI, RED Cap, Cerner, Open EMR.

• Data Base Management: MySQL

PROJECT EXPERIENCE

Prediction of PCOS Based on Physical and Physiological Factors SQL, Python Developed a machine learning model through a retrospective observational study to predict PCOS by analyzing various physical and physiological factors. This project identified key risk factors, including lifestyle and hormonal influences, to enhance diagnostic accuracy and support targeted interventions. Findings aimed at improving the efficiency of PCOS diagnosis and informing better care strategies for affected individuals. Parkinson’s Disease Progression Analysis Tools: R

Analyzed vocal and demographic data to predict the progression of Parkinson’s disease. Created a scalable prediction model to assist healthcare professionals in clinical decision-making. Employed advanced data science techniques to provide a meaningful tool for managing Parkinson’s disease progression. Clinician to Lab: EMR-Driven Patient Data Standardization: Developed a system for integrating standardized clinical terminologies (LOINC, SNOMED CT, ICD-10) into EMRs for improved diagnosis and medication management. Mapped patient data to relevant codes, ensuring accurate documentation and seamless prescription transmission via Surescripts. PROFESSIONAL EXPERIENCE

Research Assistant Herman B Wells Center for Research. May 2023 – Current

• Conducted genotyping and blood count analysis (RBC, WBC, Hemoglobin, Platelets) on mice samples.

• Analyzed data using R, generating histograms, scatter plots, and regression models.

• Interpreted results to identify trends, contributing to research insights and publications. General Dentist & Associate Dentist Healthy Smiles Dental Care Centre & Prime Dental Care, India Jan 2017 – Nov 2022

• Provided patient care, including diagnostic assessments and treatment plans, demonstrating meticulous attention to detail and regulatory compliance.

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