Arpitha Upadhyaya

Undergone intensive training on C, C++, UNIX, SQL, VB6. Developed data science projects including COVID19 detection using Deep learning (achieving 98% accuracy), Eye for Blind, and Auto Heal Infrastructure with AI & ML.

Achieved 92% reduction in the backlog of existing issues reported internally and clients. Decreased the resolution TAT by 10% yearly by building robust support product engineering team from ground up. Spearheaded in establishing the best practices while working on client escalations. Effectively improved the client experience with lesser follow up, wait time for resolution. Reduced the incoming of issues by 5% yearly. Effectively negotiated go lives, client support issues, contracts for Cerner client using Registration and Radiology products since 2008. Engaged in all SDLC points on daily basis for defects and new enhancements. Formulated and managed teams to maintain Quality Standards, Compliance for release and non-release activities, audit. Championed team from 9 - 30 associates to be named as the best agile team, best manager out of other teams in Org. Collaborated with senior managers across the organization to deliver critical projects. Worked with senior management to review talent, recommend compensation and career growth. Mentored associates to become SME for various products within Cerner Millennium. Facilitated backlog review, sprint planning, break-down of Epic to user stories, estimation, task allocation, release planning, demo and retrospectives in fast paced agile development.

Visited multiple clients in UAE, involved in training and GO LIVE support of Cerner Radiology solutions. Awarded Best Manager in 2020. Awarded most Efficient Agile team in 2020.

Ciftech Technologies is a pioneer in providing products for small scale Indian hospitals, labs and also for school management. Key projects included Cift-Health for EHR automation system, Cift-Lab for Lab automation system, and Cift-Education for School Management system.

Currently doing research on Covid detection & improving patient experience.

Course Modules covered: Data Analysis in Excel, SQL, Python, Inferential Statistics, Machine Learning (Linear/Logistic Regression, Tree Models, SVM, NLP, Deep learning, CNN, RNN, Reinforcement Learning).