ASHWINI DODDA

adxk53@r.postjobfree.com <> linkedin: linkedin.com/in/ashwini-dodda/ <> 573-***-****

EDUCATION

<> Indiana University Luddy, Indianapolis, IN

Master’s in Health Informatics Anticipated: December 2023

<> Dr. N. T. R. University of Health Sciences, India Bachelor’s of Dental Surgery November 2021

TECHNICAL SKILLS

Languages Python, MySQL, R, XML, HL7

Tools Linux, Tableau, Networking, Machine Learning, Deeplearning Data Standards SNOMED, ICD, LONIC, CPT, RxNorm

Privacy and payment Laws HIPAA, MACRA, MIPS, APMs

Others Data Visualization, Data Mining

ACADEMIC PROJECTS

<> Prediction of Health Professional Shortage Area (HPSA) Status MySQL, Python, Machine Learning

• Developed a Python program using machine learning (ML) algorithms to predict the status of HPSA designations, including designated, withdrawn, or proposed for withdrawal.

• Engineered and trained ML models with scikit-learn and TensorFlow libraries to predict HPSA status for medically underserved areas; achieved 97% accuracy and eliminated manual evaluation

<> Adverse Drug Event Reporting Application Project Management, Clinical Data Analysis

• Designed and developed a web-based application to streamline the reporting of adverse drug events

(ADEs) by healthcare practitioners to health regulatory authorities in the USA

• Implemented data validation, analytics, and visualization features to improve the quality of ADE reports and assist in identifying trends and patterns

<> Wisconsin Cancer Analysis MySQL, Python, Machine Learning

• Collected, cleaned, and prepared clinical data on cancer cases in Wisconsin to evaluate variations and patterns using machine learning techniques

• Implemented and compared multiple ML models using Python, achieving improved accuracy in predicting cancer trends and informing targeted interventions

<> Build of Material Image Classification for Clinical Equipment SQL, Digital Image Processing, DBMS

• Developed an image classification model to accurately categorize and manage clinical equipment images in Build of Material (BoM) databases for Asurion

WORK EXPERIENCE

<> Research Assistant January 2023 - Present

IU School of Medicine

• Assist in the Program Evaluation & CTSI Core project, focusing on clinical data analysis and research

• Maintain and manage clinical research databases using MS Office and Microsoft Excel, ensuring accuracy and integrity of research data

• Collaborate with interdisciplinary team members to develop and implement data-driven solutions that optimize clinical processes and improve overall efficiency.

<> Data Assistant March 2022 – Present

Luddy School of Informatics, Computing & Engineering

• Ensure data entry requirements are met by adhering to data program techniques and procedures, focusing on clinical data management

• Identify and correct errors, duplications, or inconsistencies in clinical data provided by the school, improving data quality and reliability

• Conduct clinical data analysis to identify trends, patterns, and discrepancies in the information provided, aiding in the development of targeted interventions and decision-making

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