Data analytics & continuous improvement are my passion. I love working with teams from different departments and backgrounds. I believe that improving any industry relies on data-driven decisions, having a positive attitude towards cultural changing, collaboration, and clear ownership identification.
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o IOS App for predicting central line-associated bloodstream infection (CLABSI) on real-time using machine learning algorithms
o COVID 19 daily forecasting modelling project
o Hepatitis C transmission modeling in Broome county using SIR epidemic modeling
o Hepatitis A, B, & C status letter automation
o Patient readmission within 30-days of discharge prediction model
o Catheter-associated urinary tract infection (CAUTI) prediction model
o Human resources nursing hiring to predict when the nurse is estimated to leave the job
o C-diff prediction model
o Information services (IS) improvement project
o Flu outbreak forecasting for 2020 (before COVID-19)
o Predicting readmission with excellus data based on chronic conditions
o Project gastrointestinal (GI) laboratory staffing model
Data analysis for the hand hygiene compliance project (BioVigil implementation)
Part Time Lecturer, Industrial Engineering Department, Fall 2015
Teaching Assistant, Fall2012 - Spring 2015
Journal Publications
Working Journal Papers
Conference Papers & Presentations
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