Objective: Implement a Customer Data Platform (CDP) for the B2B/B2C Manufacturing sector to advance digital customer experience by unifying customer identities, enabling personalized omnichannel journeys, enhancing customer insights, improving relevancy, and improving operations.Key Responsibilities:• Clarification Phase: assessed IT landscape and integration options, gathered business requirements, developed 100+ use cases, and conducted an extensive market research.• Vendor Selection: developed and applied a data-driven evaluation framework, including PoC-based solution validation.• Solution Design: designed a flexible and extensive data model and solution architecture, ensured compliance, defined change management protocols and streamlined business processes while systematizing sustainable roles & responsibilities, developed strategic roadmap, OKRs, and KPI frameworks, identified risk factors and addressed management thereof.• Solution Delivery: integrated data sources, optimized data quality, gathered customer identities into profiles while managing user onboarding, training, and ongoing support to ensure adoption and utilization. Coordinated communication within the team and beyond while measuring performance and business impact to drive continuous improvement. Development of ML models, i.e. multiple Product Recommendation strategies for 1M+ products.

• Dedicated to advancing innovative data-driven propositions and data monetization strategies for creating value through end-to-end analytical solutions and delivering tangible business impact• Consulting and project delivery

• Focused on strategy, business, and technical transformation, driving performance and sustainable growth.• Led business development initiatives, conducted comprehensive industry and competitive analysis, and optimized business processes to enhance efficiency and effectiveness. • Designed data-driven monetization strategies and tailored technical solutions to meet client needs, support organizational goals, and maximize value creation.

• Provided strategic insights and solutions to address immediate challenges, while laying the groundwork for sustainable mid- to long-term improvements in organizational performance and decision-making.• Applied data-driven methodologies to enhance business processes, optimizing operational models to achieve greater efficiency and effectiveness across the organization.

• Helping customers solve complex business problems and execute digital transformation strategies in sectors including banking, insurance, telco, retail, and manufacturing • Designing and delivering impactful solutions and best practices using AI, ML, advanced data management, and IoT principles• Developing transformation value propositions covering customer insights, credit risk modeling, product recommendation, fraud detection, dynamic pricing, and operational excellence, i.e., process mining, stock optimization, demand-driven planning, portfolio optimization, etc.• Other responsibilities include agile project management, knowledge transfer and coaching, conference presentations, and team leadership and management

• Designing and delivering impactful marketing/sales programs and strategies using dedicated technical solutions, derive customer insights on prospects and customers to create relevant, individualized omnichannel experience and journey• Similar as above related to Customer Intelligence & Digital Marketing

o Developed new and use existing methods of artificial intelligence to tackle important societal challenges related to health, environment, energy, and other areaso Provided advanced intelligent solutions for the industry and promote responsible use of artificial intelligenceo Lecturer at various faculty institutionso Worked abroad at FZI, Germany, and Information Sciences Institute, USC, USA, funded by Marie Curie Scholarshipo Published three monographs, several scientific papers, and many articles

Developer of the e-banking solution