Veena Vijayan

317-***-**** # ad3btp@r.postjobfree.com ï linkedin.com/in/veena-vijayan-b81321245/ § https://github.com/Veenav1127

Education

Indiana University Dec 2023

Master of Science in Health Informatics Indianapolis, Indiana Rajiv Gandhi University of Health Science Nov 2016 Bachelor of Dental Surgery Bangalore, Karnataka

Skills and Competencies

• Data modeling

• Business Intelligence

Tools

• Data cleaning and

transformation

• Analytical and critical

thinking

• Data extraction,

manipulation, and

analysis

• SQL queries and

scripting

• Big data analysis,

profiling, and

manipulation

• Data visualization

• Data quality assurance

and control

Experience

IU School of Medicine

Clinical Data Analyst Intern – Sickle Cell Anemia Research Project March 2023 – Sep 2023

Indianapolis, Indiana

• Collaborate with a cross-functional team and liaise with four Indiana hospitals to aggregate raw clinical data from patient visits, extracting and interpreting records sourced from platforms like Redcap, Cerner, and EPIC.

• Utilize SPSS and R for sophisticated analysis, evaluating treatment impacts and contrasting pre- and post-treatment effects. Conduct time-series analysis employing machine learning models to predict treatment progression.

• Communicate complex insights effectively through Power BI dashboards, PowerPoint presentations, and comprehensive MS Word reports presented to senior stakeholders, enabling informed, data-driven decisions. Indiana University Aug 2022 – Dec 2023

Graduate Teaching Assistant Indianapolis, Indiana

• Guided and assisted students in mastering medical terminology, Data Standards, XML, SQL, MS Office tools, computer literacy, Python, and Tableau. Developed engaging learning materials for all courses.

• Mentored and tutored students in undergraduate and graduate courses: Medical Terminology, Computer Concepts for Health Informatics, Data Organization and Presentation in the Healthcare Environment, Database design health information Management, Health Information Technology, Health Information Standards and Terminologies.

• Contributed to a 100 percent success rate for student projects through tutoring and guidance. Safeguarded confidential information, grades, and test scores in compliance with HIPPA standards, while optimizing online class activities including assignment grading and project evaluation for a uniform and equitable assessment process. Riley Children’s Health Jan 2023 – June 2023

Data Analyst Intern/Student Support Specialist Indianapolis, Indiana

• Collaborated with the Neurodiagnostic Institute, retrieved and integrated clinical data from CERNER into custom-designed REDCap forms. Utilized Excel for data assessment, data validation, and data wrangling to ensure accuracy and readiness for analysis.

• Conducted in-depth exploratory data analysis leveraging Python, unveiling pivotal patterns and anomalies, with a focus on behavioral health patterns among individuals with autism, denial reasons, and correlations with age and other significant factors

• Employed machine learning models such as classification and regression models in Python for the prediction how the treatment can be beneficial for the patients.

• Presented intricate data trends to stakeholders through compelling visualizations developed in Python using libraries like Matplotlib and Seaborn. Also, developed Power BI and Tableau dashboards and reports that influenced team requirements and strategic decisions at the organizational level. IU School of Dentistry Sep 2022 – Decm 2023

Dental Assistant Indianapolis, Indiana

• Optimized clinical system automation utilizing Axium dental software. Achieving seamless import of patient records for 40-50 patients weekly through electronic health records and automated workflow .

• Actively contribute to oral health education initiatives by assisting in clinical procedures and optimizing clinical systems through Axium dental software.

• Processed 40-50 weekly health insurance claims via Medicare, while delivering superior customer service that included troubleshooting, coordinating with IT, and effectively communicating with end-users regarding data-related issues. P.M.N.M Dental College March - November 2016

Dental Informatican Banglore, Karnataka

• Had the privilege of engaging in a multifaceted role that encompassed various crucial aspects of oral cancer research. Beyond conducting clinical assessments and examinations of patients with oral cancer, I was part of a dynamic team composed of individuals ranging from dentists to engineers, all united by a shared mission to revolutionize the dentistry industry through the innovative application of AI Dentistry

• Our mission was to Reach the Unreachable and work Towards Healthier Smiles with one of our flagship products being the Oral Cancer Screening powered by AI, capable of rapid cancer screening. My responsibilities extended to gathering comprehensive patient histories collaborating closely with healthcare professionals to compile data on medical backgrounds, lifestyles, and treatment regimens, and meticulously maintaining accurate records of patient interactions.

• I also played a pivotal role in preparing reports and presentations summarizing our research discoveries, adhering rigorously to ethical guidelines, and upholding patient confidentiality. Additionally, I actively contributed to the academic facet of our research by assisting in literature reviews and staying current with the latest advancements in oral cancer research.

Projects

Predictive Analysis of potential factors causing unrecognized CS Symptoms Python, SQLAug 2021 – May 2022

Conducted an in-depth analysis to ascertain the influence of physiological factors on predicting unnoticed cerebral stroke symptoms

Utilized a variety of machine learning algorithms, including correlation tests, logistic regression, decision tree classifiers, random forest classifiers, support vector machines (SVM), gradient boosting classifiers, and XGBoost classifiers.

Developed robust binary classification models to predict the likelihood of unnoticed cerebral stroke symptoms based on physiological markers.

Employed rigorous evaluation methodologies to assess model accuracy and performance metrics, ensuring reliable predictive outcomes.

Health Insurance Rate vs Age in Mid – West SQL,Tableau Jan 2023 – May 2023

Conducted comprehensive analysis utilizing SQL queries and PowerBI (Power Query, DAX) to explore the correlation between age demographics and health insurance premiums in Midwestern U.S. states.

Developed a user-friendly Django website enabling interactive exploration and comparison of health insurance rates across various age groups and geographic locations within the region.

Generated empirical insights revealing statistically significant trends, contributing to a scientific understanding of demographic influences on health insurance costs and potential implications for healthcare policy. Technical Skills

Languages: Python, R, SQL

Markup Languages:: XML, HL7, JSON, and HTML

Database: MySQL, PostgreSQL, SQLite

Frameworks/Libraries: Numpy, Pandas, Scikit-Learn, Scipy, OpenCV, matplotlib, seaborn, Pyplot, Plotly, ggplot2, R packages

Tools: Jupyter, R-studio, Oxygen XML Editor, Microsoft Office tools, phpMyAdmin, MySQL workbench, Tableau, REDCap, SPSS, PRISM

Technologies/Platform: Machine Learning, Deep Learning, Natural Language Processing (NLP), Data Structures and Algorithms, clustering, regression, classification, sentiment analysis, time series, Database Management System (DBMS), Linux, OSX, Windows, GitHub

Data Standards:SNOMED, ICD, LOINC, CPT, RxNorm

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