Data Analyst Intern

Lakshmi Spandana Gudapati

Indianapolis, Indiana *6202

317-***-**** ! ********.********@*****.*** è www.linkedin.com/in/sgudapati Education

Indiana University May 2021

Master’s in Health Informatics Indianapolis, IN

Government Dental College & Hospital December 2017 Bachelor of Dental Surgery Hyderabad, India

Relevant Coursework

• Data Analysis

• Database Management

• Data Visualization

• Electronic Health Records

• Project Management

• Qualitative Data Analysis

• Regression Analysis

• Statistical Analysis

Experience

IU School of Medicine Sep 2020 – May 2021

Data Analyst Intern Indianapolis, IN

Integrated in-house built radiology scheduling system with DICOM modality worklist functionality using Conquest, MS-SQL, SQLite, and Python.

Queried the scheduling system for the next day’s patients and imported them into Conquest to populate modality worklists and developed python scripts to load data from MS-SQL database, remapped the data schema and transferred to the SQLite.

Indiana University Jan 2021 – May 2021

Graduate Teaching Assistant Indianapolis, IN

Review student’s essays, evaluating their critical thinking abilities and assisting students by clarifying their doubts regarding project management and providing the professor with feedback related to student performance.

Research work regarding the course topics to enhance student engagement. Indiana University Jan 2020 – Dec 2020

Graduate Research Assistant Indianapolis, IN

Performed analysis to study the relationship among clinically important indicators including social determinants of health

(SDOH) and birth outcomes for the state of Indiana by performing regression analysis.

Performed qualitative data analysis using ATLAS.ti to evaluate the developmental impact of OpenMRS implementation.

Conducted a survey of telehealth innovation among state Medicaid programs and managed care organizations. Projects

Breast Cancer Prediction using Machine Learning

Performed data cleaning and merged datasets using python and prepared the data for statistical analysis.

Implemented classification machine learning techniques such as naive bayes, logistic regression, gradient boosting, decision trees using python.

Successfully identified the factors associated with breast cancer using feature importance from the classification algorithms.

COVID-19 Data Analysis and Visualization

Performed exploratory data analysis to identify COVID-19 risk factors using CORD-19 data-set in kaggle.

Developed visualization in Tableau to report the factors associated with COVID-19. Interoperability for successful transmission of laboratory results to Ambulatory Electronic Health Records

Executed the XSL transform to extract the data and formatted it as XML.

Converted XML document into JSON format using JSON conversion in OxygenXML Editor.

Posted JSONs to OpenMRS Electronic medical record system using POSTMAN. Performed Exploratory Data Analysis(EDA) to analyse Hepatitis patient’s data

Used Seaborn and Matplotlib to build appropriate visualizations such as boxplots, violin plots to perform univariate, bivariate and multivariate analysis.

Technical Skills

Languages: SQL, Python

Data Viasualization: Tableau, MS-Excel

Tools: MS-SQL, SQLite, MS Office, Jupyter

EHR Systems: OpenMRS

Certifications

Python Essential Learning

Basic Life Support

HIPAA and CITI

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