Anurag Chavan

• Created user stories on Jira and documented personas, data flows, and solution designs in Confluence for implementation clarity. • Designed user story maps, analyzed use cases, and resolved conceptual gaps with the Product Owner. • Facilitated refinements to finalize acceptance criteria and estimations. • Maintained release planning and product feature models (PFM). • Supported UX by providing use cases, suggesting enhancements, and coordinating dependencies with cross-functional teams.

• Analyzed and improved requirements engineering processes for the ADAS Camera Mechanics Development Team. • Identified pain points via expert interviews and tools like IBM DOORS and ETM. • Researched AI-driven tools for automation and proposed an implementation plan with best practices. • Mapped workflows for elicitation, specification, analysis, and review phases using EPC diagrams. • Assessed process capability with the Mechanical SPICE process assessment model.

• Launched 50+ fashion designer websites on Magento via cross-functional collaboration with marketing, SEO, CRM, and technical teams. • Created PRDs, prioritized tasks, and planned sprints on Jira for new product development. • Conducted end-to-end UI testing for features on mobile and desktop devices. • Leveraged Microsoft Clarity and Google Analytics to identify product gaps and optimize performance. • Led the upload team in managing products, collections, categories, and inventory updates on Magento.

• Improved process throughput time by up to 15% by optimising the scheduling of the process using overall equipment effectiveness and simultaneous operations. • Improved carrier pallet design for ease of handling and material cost savings of almost 72% (€111/pallet) using SolidWorks 2016. • Identified factors impacting productivity and provided beneficial measures to improve productivity. • Identified and implemented safety measures for assembly workers

Schwerpunkt: •Requirements Engineering (Anforderungsmanagement) - RM tool, Sequence Based Specification(SBS), Informations Systems RE •Einführung in autonome Systeme - Sensoren, Bildverarbeitung, Maschinelles Lernen •Applications of Machine Learning and Data Science - Adversarial Attacks, Document Image Analysis, Life Science, Smart Power Grids •Seminar Elektromobilität - Bewegungsvorhersage in automatisierten Fahrzeugen durch maschinellen Lernens