Anchal Bisht

182******* // adwg7a@r.postjobfree.com // linkedin.com/in/anchal-bisht // github.com/an471

Education

University of North Carolina at Chapel Hill North Carolina, NC Master’s of Biomedical in Health Informatics Aug. 2022 – Present Relevant Course Work

Text Mining/Sentimental Analyses, ML models, Database Structures(SQL), Applied Health Informatics, System Analysis Electronic Health Record, Data Visualization, Lean Six-Sigma. Technical Skills

Programming: Python, SQL

Operating Systems: Linux, Unix, Windows

Database Management: PostgreSQL, MySQL, SQLite

Analytics Tools: MS Excel, Tableau, Pandas, PowerBI, Amplitude Analytics Languages: English (Fluent), Hindi (Native)

Soft Skills: Business Communication, Strategic Vision, Solution Oriented, Project Management, Teamwork, Lean,Six-Sigma

Projects

Sentimental Analysis on Amazon Product Reviews — Text Data Mining: UNC Chapel Hill

• Examined Amazon product reviews using Light-side by performing error analysis

• Exported the data and examined instances where the model failed to make accurate predictions

• Used machine learning algorithms (Linear Regression, Naive Bayes, and Logistic Regression) to test and train data and calculate accuracy

• Found that Logistic Regression (LR) algorithm had the highest accuracy in sentiment classification when compared to other algorithms (Naive Bayes (NB) and linear regression Breast Cancer Prediction and Analysis Python, Machine Learning, Classification, Data Analysis,

• Performed data analysis and feature engineering

• Performed data analysis. Predicted the stage of breast cancer between Malignant and Benign

• Increased prediction accuracy from 87-97 percent using Random Forest Classifier and other ML models. Covid-19 Vaccination Progress Python, Machine Learning, Data Analysis, Data visualization

• Analyzed and compared vaccination progress in different countries.

• Visualized temporal data using different libraries such as Matplotlib, Seaborn, Altair. Experience

School of Information and Library Science August 2022 - Present Graduate Student Chapel Hill, NC

• Co-led a team of 5 analysts in a project analyzing healthcare access in the USA.

• Developed insightful visualizations of large data sets with Tableau creating over 20 interactive dashboards.

• Acquired extensive knowledge of Electronic Health Record (EHR) systems such as EPIC, PCORnet.

• Employed Python and SQL to extract, transform, and load clinical data with OMOP, CDM, and ICD-10, which led to a 25 percent decrease in errors and an improvement in data accuracy and consistency. Physiotherapist Sep. 2021 – June2022

Green City Hospital India

• Led a team of 5 interns by assigning different tasks and troubleshooting any issues.

• Evaluated and treated a wide range of conditions including cerebrovascular accident, traumatic brain injury, cerebral palsy, bell’s palsy, down syndrome, adhesive capsulitis, and multiple pressure sores, lower back pain.

• Assisted patients with cardiovascular conditions in the ICU, including cardiac arrest, myocardial infarction, and stroke

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