Work Experience
My professional journey and key contributions in various roles.
Student AI Developer
University of Arizona Health Sciences
Jan 2025 - May 2025
- Analyzed cross-team requirements to optimize AI-driven form-building and 3D patient simulation, improving efficiency by 35% through Python scripting and API integrations.
- Developed and monitored key performance metrics for AI-based patient simulations, ensuring data accuracy and usability for healthcare applications.
- Refined chatbot interactions by analyzing user behavior, improving session management, and optimizing data storage to enhance engagement and retention.
- Conducted exploratory data analysis (EDA) on chatbot logs, identifying patterns and insights to improve user experience and error handling.
- Presented weekly data-driven progress reports to 25+ stakeholders, ensuring alignment, transparency, and actionable insights for continuous improvements.
- Utilized Python (Programming Language), EDA, and other data science skills in AI projects.
Data Analyst Intern
The Force for Health® Network
Sep 2024 - Dec 2024
- Automated six customer email campaigns tailored to diverse subscription plans, reducing manual workload by 60% and improving segmentation accuracy.
- Managed data ingestion and preprocessing for 40 U.S. counties and urban/rural areas in India using Python and Excel, ensuring data accuracy for visualization through 2 Tableau dashboards.
- Collaborated with three cross-functional teams during weekly sprint planning, execution, and updates to report progress and address challenges, contributing to a 90% sprint completion rate and reducing project delays by 20%.
Associate Consultant
Capgemini
Nov 2019 - Jul 2023
- Led development and delivery of a key product using Agile methodology, driving enhancements, timely releases, and continuous improvement through iterative development and stakeholder feedback
- Collaborated with business and finance teams to align data reporting, contributing to a standardized analytics framework
- Conducted knowledge transfer (KT) sessions for new team members, ensuring smooth onboarding and faster project ramp-up