Fraud Detection & Real-Time Alerts Platform (Banking Domain)
Built a fraud detection platform for a banking client to identify suspicious transactions and notify customers instantly, reducing fraud losses.
Roles & Responsibilities:
- Facilitated all Scrum ceremonies — Sprint Planning, Daily Stand-ups, Sprint Reviews, and Retrospectives — to keep the team focused, transparent, and aligned with business goals
- Collaborated closely with the Product Owner to prioritize backlog items, define clear user stories, and ensure acceptance criteria were understood by the team.
- Removed impediments proactively, such as coordinating with the IT and data teams to provide anonymized historical data needed for AI model training.
- Supported the team in researching and addressing GDPR and local banking compliance requirements, organizing technical spike sessions to explore solutions early.
- Acted as a bridge between the development team, data scientists, and external stakeholders to manage dependencies and resolve delays from legacy systems.
- Organized joint backlog refinement sessions to clarify integration points between backend developers and AI/data science team, reducing rework.
- Promoted automated testing and CI/CD practices to lower deployment risks, especially given the project’s compliance sensitivity.
- Kept stakeholders informed and managed expectations by sharing sprint dashboards, burn-down charts, and progress updates.
- Celebrated small wins at Sprint Reviews and maintained team motivation under pressure from regulatory deadlines by balancing delivery expectations with realistic Sprint Goals.
- Tracked delivery and process metrics (velocity, cycle time, blocked tasks) to identify bottlenecks and improve predictability.
- Monitored product impact metrics, such as reduction in fraud detection time and false positives, and user engagement with new dispute features.
- Supported continuous improvement by following up on retrospective action items and gathering team feedback to adjust processes.
- Ensured alignment between technical implementation and business objectives, contributing to faster fraud detection and higher customer trust.
Patient Engagement & Appointment Optimization Platform (Healthcare Domain)
Developed a predictive platform to identify patient no-shows, optimize scheduling, and send personalized reminders.
Roles & Responsibilities:
- Facilitated all Scrum ceremonies — Sprint Planning, Daily Stand-ups, Sprint Reviews,and Retrospectives — to keep the team aligned and working towards Sprint Goals.
- Partnered closely with the Product Owner to prioritize backlog items, refine user stories, and ensure acceptance criteria were clear and testable.
- Coached a cross-functional team (back-end developers, front-end developers, data engineers, and QA) on Agile principles, fostering self-organization and iterative delivery.
- Used JIRA and Confluence to track progress, visualize Agile metrics (velocity, cycle time), and maintain transparency with stakeholders.
- Identified and removed impediments such as integration delays with external scheduling systems and clarified requirements to reduce misunderstandings and rework.
- Promoted adoption of automated testing and CI/CD practices to improve release speed and reliability.
- Facilitated data-driven retrospectives, helping the team analyze performance, identify bottlenecks, and implement improvement actions in following sprints.
- Ensured alignment between technical work and business goals to achieve measurable outcomes, such as reducing no-show rates and improving prediction accuracy.
- Maintained open communication with stakeholders, sharing progress updates and seeking feedback to keep product development user-centric.
- Supported the team in balancing feature delivery with system performance and reliability needs.