Experience
PricewaterhouseCoopers
- Automated global tax incentives matching with generative AI, reducing processing time by 99% & increasing accuracy by 85%.
- Created a frontend with Streamlit and a backend with FAST API, incorporating Azure Form Recognizer for document parsing, achieving over 99% accuracy and optimizing system efficiency.
- Enhanced predictive ML model accuracy through advanced demographic profiling & natural language processing techniques.
- Increased user engagement & digital service quality for a career exploration nonprofit by implementing effective online career tools.
- Advanced data visualization & decision-making capabilities by mastering Power BI through 80 hours of intensive training.
Jules Stein Eye Institute
- Authored four papers in the American Glaucoma Society & Ophthalmology Journals, applying complex AI analytics to vast datasets to propel advancements in glaucoma research & treatment strategies.
- Automated visual field detection systems by imputing data from over 30 years of patient records, increasing diagnostic precision.
- Improved model reliability by 30% through rigorous parameter optimization & iterative testing, enhancing decision-making accuracy.
- Enriched healthcare datasets by combining NHANES & CDC data, refining inclusion criteria, & performing rigorous statistical analyses to support more accurate health assessments.
American Express
- Analyzed consumer campaign data to calculate arrival probabilities, optimizing resource allocation by identifying high ROI consumers.
- Oversaw a team of three in building a supervised learning ML pipeline, enhancing data insights for over 10.4 million financial records.
- Skilled in using Pandas, NumPy, & Scikit-learn for developing & debugging high-accuracy models with decision trees, neural networks, & random forests in Jupyter Notebook.