Sivani Ravindran

• Analyzed data from CMS to study effects of hospital shutdowns on Medicare recipients.
• Created visual tools to assess hospital closures and ownership transitions from 2016-2022 using R packages.
• Developed Docker image integrating CmdStan with R packages like tidyverse, rstan, and cmdstanr.
• Analyzed datasets to build a risk prediction model for 90-day mortality and re-hospitalization in Cirrhosis patients.
• Formulated hazard rate assessments based on variable importance charts.
• Packages: Scikit-learn, Seaborn, Matplotlib, pandas, dplyr, ggplot2, tidyverse, broom, car, caret, survival, missForest, mice, randomForestSRC, Tableau, NumPy, StatsModels, Sci-py, MS Office

Analyzed data on breast cancer, colorectal cancer, and lung cancers involving reports and data from NGS. Improved data accuracy and insights, leading to enhanced patient care recommendations in oncology

Collaborated with healthcare teams to ensure coordinated, high-quality patient care. Educated patients on drug interactions, side effects, and proper administration

Answered patient questions and data requests.Refined and administered treatment plans through dosage adjustments for better patient outcomes.

Produced scientific articles on specified subjects within the time limit. Skilled in meticulously reviewing content to identify and rectify spelling, grammar, punctuation, and formatting errors, ensuring high-quality and consistent written material