Hello, I'm Gauri.

• Developed a scalable method, leveraging APIs and interfaces, to efficiently translate survey results into key metric categories and reporting sections through collaboration with cross-functional teams.
• Created comprehensive and user-friendly documentation for the method, ensuring ease of adoption by consultants.
• Led cross-functional teams in ideating a process tool, while creating vision scope document, product roadmap, and strategy, and designing workflows.
• Assisted in developing and implementing sustainability and maintenance plans for long-term effectiveness.

• Demonstrated expertise in Active Directory and Identity Management, on-premise, and Azure cloud, leading to a significant increase in user satisfaction and retention by 80% through the provision of MIPs and custom services to more than 200 businesses globally.
• Maintained technical documentation and implemented best practices, leading to 30% increase in productivity technology areas like Azure Active Directory, Office 365, Virtual Machines, DevOps.
• Collaborated with over 75 customers for an feature adoption program called "Services Hub", resulting in winning the cross-solutions Top Achiever of the team award.
• Collaborated with other developers and product teams to handle bugs and fixes, increasing customer satisfaction by up to 30%.
• Spearheaded implementation of cloud solutions by collaborating with up to 5 teams, resulting in an integral organizational change to fasten up customer resolution and servicesgen project.

• Developed REST APIs using Visual Studio and Spring Tool Suite for an Ionic app used by doctors, improving data consistency and accessibility across 28 databases.
• Collaborated with a team of 6 on wireframe design, user stories, and acceptance criteria to ensure a user-focused and high-quality product.
• Demonstrated proficiency in both technical and user-focused aspects of software development, working effectively with cross-functional teams to deliver successful project outcomes.

• Increased data extraction and engineering efficiency by 50% by implementing database schemas & performing CRUD updates.
• Developed a dynamic dashboard using Django that improved data visualization and informed decision-making, showcasing strong data analysis and visualization skills

Majors: Specializing in Product Management and Data Science
Subjects: Management and Strategic Leadership, Foundations of Information Management, Principles of Project Management, Data driven organization and problem solving.

Subjects: Data Structures & Algorithms, Object-Oriented Programming Methodology, Database Management System, Software Engineering, Distributed Systems,Cloud Computing

Non-Technical
Cross-functional team collaboration, driving Strategic Partnerships, Client Communication, building Customer Stories Market Analysis and Competitive Research, Product Roadmapping, Product Strategy, Agile Product Development, Design Thinking, Product Lifecycle Management, Requirement Analysis, Customer Insights

Programming & Scripting Languages
Java(Intermediate), Python(Intermediate), C, C++(Intermediate), HTML, SQL, Postgres

Tools & Framworks
Figma, Tableau, SurveyMonkey, Qualtrics, Canva, DevOps Trello, Power BI, AWS, Azure, Git, Spring Tool Suite, Ionic, Angular, Spring Boot, Visual Studio Code, Eclipse, Intellij, Django

• Lead 4 team building and awards recognition events at Microsoft, India (2020-2022).


• Led 150 volunteer across 12 departments in the university cultural fest as the Cultural Secretary (2018).


• Led multiple workshops, site events and teams as International Exchange Volunteer in Vietnam working for Sustainable Development goals of the United Nations (Quality Education) for a month of under AIESEC. (2016)


• Head of Events managing 50 volunteer in Cultural Fest for college (2017)


• Co-headed the Technical fest for college managing 50 students across 5 department (2017)

International Exchange Volunteer in Vietnam working for one of the goals of Sustainable Development by the United Nations (Quality Education) for the month of December 2016 by AIESEC

Springer

In a team of 4, we used machine learning to segment photos to detect eye disorders with 95% accuracy Led to publication in Springer : (May 2021) Intelligent Learning for Computer Vision, 2021, Volume 61. Deep Learning-Based Framework for Retinal Vasculature Segmentation Spring

This retinal vasculature is then used for detection of numerous diseases like retinopathy of prematurity (ROP), glaucoma, diabetic retinopathy, coronary heart disease, etc.

• Azure Fundamentals (Microsoft)
• Azure Associate (Microsoft)
• Google Cloud Architect Program (Coursera)
• Python (Udemy)
• Data Science and Machine Learning (Udemy)
• Android (Internshala)
• JavaEE (Netcracker)