Experience

PricewaterhouseCoopers

Project Manager

June 2023 - Present

  • Engineered a full-stack AI platform using Streamlit and FASTAPI, integrated with Azure Form Recognizer, reducing document processing time from 10 hours to 2 minutes, achieving 99% extraction accuracy across 10,000+ financial records.
  • Boosted model precision by 20% through the implementation of demographic profiling and NLP, enhancing classification accuracy in automated tax form analysis.
  • Developed a Python-based chatbot for a national nonprofit within 3 weeks, increasing user engagement by 70% for 1,200 students.
  • Visualized tax advisory performance trends using Tableau and Plotly, delivering dynamic dashboards that streamlined decision-making for senior stakeholders and improved service quality metrics by 35%.

Jules Stein Eye Institute

Data Scientist

May 2023 - June 2024

  • Published 7 papers in Ophthalmology and American Glaucoma Society journals, applying AI models to 3,000+ patient records to improve glaucoma progression forecasting.
  • Built deep learning models in Python and R to predict visual field degradation, increasing early detection accuracy by 28%.
  • Performed survival analysis and multivariate regression to estimate progression rates, uncovering 5 key prognostic factors used to tailor personalized care plans.
Figure 1

American Express

Lead Machine Learning Engineer

June 2022 - April 2023

  • Directed a team of 3 engineers to develop an ML pipeline processing 10.4M+ financial records, increasing classification accuracy by 30% and enhancing fraud detection precision.
  • Analyzed campaign performance data using Pandas and Scikit-learn, optimizing resource targeting strategies and improving ROI by 80% across multiple campaigns.
  • Deployed ensemble models in Jupyter Notebook to identify high-probability customer segments, increasing lead conversion by 3x.
  • Automated reporting workflows, reducing model iteration cycle time by 50% and enabling faster stakeholder decision-making.
Figure 2