• Scaled the franchise concept from one to 32 operational stores with a collective turnover of ~80MSEK. Enabling 50+ new entrepreneurs to realise their ventures.• Built high-availability and real-time software architecture and services. Handling ~90 million requests from thousands of customers – allowing them to identify themselves via custom made IoT devices (uptime > 99.99%).• Developed data pipelines and performed statistical analysis of customer data, supplier data, and IoT device data – enabling data-driven business decisions and value through insights. 𝘛𝘦𝘤𝘩𝘯𝘰𝘭𝘰𝘨𝘪𝘦𝘴 𝘶𝘴𝘦𝘥: 𝘗𝘺𝘵𝘩𝘰𝘯, 𝘑𝘶𝘱𝘺𝘵𝘦𝘳, 𝘎𝘰, 𝘛𝘺𝘱𝘦𝘚𝘤𝘳𝘪𝘱𝘵, 𝘈𝘞𝘚, 𝘎𝘰𝘰𝘨𝘭𝘦 𝘊𝘭𝘰𝘶𝘥, 𝘒𝘶𝘣𝘦𝘳𝘯𝘦𝘵𝘦𝘴, 𝘋𝘰𝘤𝘬𝘦𝘳, 𝘈𝘯𝘴𝘪𝘣𝘭𝘦, 𝘌𝘮𝘣𝘦𝘥𝘥𝘦𝘥 𝘊, 𝘕𝘰𝘥𝘦.𝘫𝘴, 𝘙𝘦𝘢𝘤𝘵, 𝘕𝘦𝘹𝘵.𝘫𝘴, 𝘨𝘙𝘗𝘊, 𝘙𝘦𝘥𝘪𝘴, 𝘋𝘺𝘯𝘢𝘮𝘰𝘋𝘉, 𝘙𝘋𝘚 (𝘗𝘰𝘴𝘵𝘨𝘳𝘦𝘚𝘘𝘓), 𝘈𝘱𝘢𝘤𝘩𝘦 𝘒𝘢𝘧𝘬𝘢, 𝘎𝘳𝘢𝘧𝘢𝘯𝘢, 𝘗𝘳𝘰𝘮𝘦𝘵𝘩𝘦𝘶𝘴

• Designed and implemented data pipelines to ingest, process, analyse, and visualise key metrics to enable data-driven business decisions for stakeholders (BI). Automated further functionality; e.g. statistical dashboards and weekly/monthly reports.• Led software development incentives within EHS that resulted in digitalisation of ergonomic assessments and a new data curation platform. Collaborated with stakeholders and SDE teams in EU, NA, and IN. • Visited EMEA FCs [London, Manchester, Orléans, Dortmund] to assist training sessions within applied ergonomics, evaluate new cutting-edge technologies and tools for potential workflow implementation, and review current implementations. • Contributed to internal resources that received company-wide recognition.𝘛𝘦𝘤𝘩𝘯𝘰𝘭𝘰𝘨𝘪𝘦𝘴 𝘶𝘴𝘦𝘥: 𝘗𝘺𝘵𝘩𝘰𝘯, 𝘑𝘶𝘱𝘺𝘵𝘦𝘳, 𝘛𝘢𝘣𝘭𝘦𝘢𝘶, 𝘌𝘹𝘤𝘦𝘭 (𝘝𝘉𝘈), 𝘛𝘺𝘱𝘦𝘚𝘤𝘳𝘪𝘱𝘵, 𝘙𝘦𝘢𝘤𝘵, 𝘈𝘞𝘚, 𝘋𝘺𝘯𝘢𝘮𝘰𝘋𝘉, 𝘓𝘢𝘮𝘣𝘥𝘢, 𝘙𝘦𝘥𝘴𝘩𝘪𝘧𝘵

Developed and had ownership of front-end incentives at the electric scooter micro-mobility startup – with the goal to make transportation environmentally sustainable. @Stockholm School of Economics, SSE Business Lab.• Conducted operational engagements; e.g. maintenance of the scooter fleet. • Launched the service in Stockholm.𝘛𝘦𝘤𝘩𝘯𝘰𝘭𝘰𝘨𝘪𝘦𝘴 𝘶𝘴𝘦𝘥: 𝘑𝘢𝘷𝘢𝘚𝘤𝘳𝘪𝘱𝘵, 𝘉𝘪𝘵𝘉𝘶𝘤𝘬𝘦𝘵, 𝘎𝘰𝘰𝘨𝘭𝘦 𝘊𝘭𝘰𝘶𝘥

• Performed an in-depth SEO analysis of the online retail platform that pinpointed several factors of potential improvement. The new SEO strategy and implementation that was derived from the analysis resulted in a higher page rank with an increased CTR (+70% YoY).• Built analytical tools to collect data, generate actionable insights, and to optimise customer journeys through data driven UI/UX decisions. The incentive led to noticeably higher conversion rates (+10% YoY).𝘛𝘦𝘤𝘩𝘯𝘰𝘭𝘰𝘨𝘪𝘦𝘴 𝘶𝘴𝘦𝘥: 𝘑𝘢𝘷𝘢𝘚𝘤𝘳𝘪𝘱𝘵, 𝘎𝘰𝘰𝘨𝘭𝘦 𝘈𝘯𝘢𝘭𝘺𝘵𝘪𝘤𝘴, 𝘗𝘏𝘗, 𝘞𝘰𝘳𝘥𝘱𝘳𝘦𝘴𝘴