Senpiper One Resource is a low-code mobile-first platform to quickly build intuitive and robust digital apps.
- Led multiple IT projects and assisted software engineering teams from initiation to closure, ensuring on-time and within-budget delivery, resulting in a 95% adherence to project timelines and scope.
- Demonstrated leadership by successfully leading cross-functional teams of up to 20 members, resulting in the completion of 7+ projects within budget and on time, thereby reducing project cost overruns by 15%.
- Utilized Agile, waterfall and hybrid methodologies to manage projects, resulting in improved team collaboration & faster project delivery.
- Led daily Scrum meetings to facilitate team collaboration, monitor sprint progress, and address impediments, contributing to increased team efficiency and improved project delivery.
- Utilized JIRA & MS Project to apply Kanban and Scrumban methodologies, effectively managing backlog, sprint planning, and risks/ issues tracking, leading to a 15% increase in team efficiency.
- Actively promoted Extreme Programming (XP) practices, including pair programming and test-driven development (TDD), leading to a 20% increase in code quality and a reduction in defects.
- Created detailed project documentation and plans with milestones and deliverables for successful implementation of new initiatives. Precisely documented lessons learned at the end of each sprint to maximise learning.
- Coordinated cross-functional teams including IT personnel, developers, analysts, and external vendors to ensure timely completion of tasks and the successful delivery of 95% of sprint commitments.
- Conducted comprehensive business analysis, including requirements gathering, stakeholder communication, and SWOT analysis, resulting in optimized project scope and objectives.
- Utilized Matplotlib and Seaborn for data visualization and charting, and employed Tableau and PowerBI for advanced data analytics and dashboard creation. This approach transformed complex data into actionable insights, leading to data-driven decision-making and an improvement in project outcomes.
- Utilized SQL queries, Excel, Python, JavaScript to extract & analyze data from various sources.
- Leveraged knowledge of data analysis techniques such as trend analysis, forecasting and regression models to increase operational efficiency.
- Provided training and mentorship sessions on process improvements and system updates for staff members at all levels of the organization.