Akshara T.

Building ML models for predictions and classification tasks on healthcare data to reduce manual edits on claims

• Developing generative AI solutions for enterprise-scale applications in the healthcare and analytics domain. • Collaboration of cross-functionally to implement AI-driven solutions for real-world projects.

Conducted comparative studies on various machine learning algorithms to identify best-performing models for enhanced accuracy. Developed and containerized machine learning pipelines using Vertex AI, Google Cloud Functions, TensorFlow, and Docker, streamlining workflows for efficient data processing and analysis.

Dedicated to fostering excellence in education, I serve as an Instructional Assistant for ASU's "CSE574: Planning and Learning Methods of AI" and "CSE598: Operational Deep Learning: A Sociotechnical Perspective" courses. My responsibilities include developing and maintaining the course website, hosting virtual office hours to support students, updating course materials to reflect the latest AI advancements, and managing logistics for a seamless learning experience.

Implemented a reusable code framework, reducing redundancy and increasing performance by 10%. Mentored & oversaw 13 new joiners, facilitating smooth onboarding and team integration. Supervised a team of 5, coordinating 3520 volunteers for a corporate social responsibility (CSR) program, providing instructional materials to underprivileged students.

Developed 35+ interfaces with under 4% defects using IIB and Webmethods, resulting in a 20% improvement in technical deliverables. Conducted comprehensive testing for 50+ interfaces, expediting defect identification by 15%. Promoted from Analyst to Consultant, earned a spot award within 2 years due to handling complex interfaces, contributing to project functional planning and reporting.