Business Intelligence Experts in Essen

• Development of a production-ready Enterprise AI solution for the automated processing of invoices and business documents
• Integration of Azure AI Document Intelligence and LLM technologies into existing business processes
• Development of robust REST APIs for automated document processing and system integration
• Extraction, validation, and storage of structured invoice data in Azure SQL as a base for analytics and machine learning models
• Development of an AI-based recommendation engine with machine learning and deep learning to generate personalized product recommendations based on historical purchase data
• Implementation of logging, monitoring, error handling, and validation mechanisms for stable production use
• Collaboration with business teams to define business rules and integrate the solution into existing enterprise processes

Technologies: Python, Azure AI Document Intelligence, Azure OpenAI, Azure SQL Database, REST APIs, Machine Learning, Deep Learning, OCR, Pandas, JSON, Workflow Automation

Independent Consultant

• Advisory focus: E-Commerce, Digitalization, Automation, Pricing, Assortment & Merchandising, Platform Strategy
• Industries: Retail & Consumer Goods
• Subject Matter Expert for leading management consultancies
• Ongoing executi...

Tools: Fabric, AWS, dbt, Power BI, SQL, DWH, R, Python

• Supported customers in implementing an architecture design for extracting and preparing data
• Planned the design and implementation of the BI and DWH platform
• Ensured the scalability and performance of the data platform

• Created data pipelines and visualization tools to support sustainable energy decision-making
• Developed insights that could optimize renewable energy deployment and grid integration strategies

• Delivered MVP-focused full-stack architecture for a health-sector client: Vite/React frontend, backend services on Google Cloud Run, and Supabase for database plus IAM/authentication.
• Supported product requirements engineering and prioritized cost-aware workload placement, implementing browser-side/edge computation where feasible before moving logic to backend services.

• Title: Enhancing Syntactic Awareness in Transformer Language Models for Hindi Dependency Parsing
• Investigated syntactic knowledge captured by transformer language models (RoBERTa, XLM-RoBERTa) for Hindi dependency parsing, a morphologically rich and low-resource language.
• Developed structure-aware model variants (Struct_Roberta_hi, Struct_XLMR) by integrating a CNN-based parser network between transformer layers, inspired by the StructFormer architecture.
• Conducted extensive error analysis including label-wise, distance-based, direction-based, sentence length-based, and LVC/Non-LVC evaluations.
• Evaluated models on downstream NLP tasks (NER, POS tagging) using the IndicXTREME benchmark.

• Conducted advanced machine learning methods on large-scale inequality datasets for forecasting, clustering and feature importance to assess impacts on growth
• Integrated multi-source inequality datasets into a unified panel; applied reproducible preprocessing pipelines including variable harmonization, outlier treatment, normalization, and multiple-imputation methods
• Published four papers in international peer-reviewed journals

• Overall responsibility for strategic and operational procurement, Procurement Management (11 FTE).
• Further development of the procurement and procurement organization, including task and role model.
• Management of cross-functional special projects (e.g. value engineering, design-to-cost).
• Development and implementation of a holistic sourcing and procurement strategy with a focus on resilience, ESG, de-risking, decoupling and cost performance.
• Execution of a comprehensive procurement transformation with a new supply chain strategy alignment.
• Reorganization of the procurement team to improve efficiency through clear role allocation and relief from non-core and non-functional tasks.
• Professionalization of contract management processes and supplier development programs.
• Process optimization along the S2C and P2P chain, including standardization and automation in line with MDR (EU Regulation 2017/745), GxP compliance & quality management systems ISO 9001 and ISO 13485.
• KPI development and optimization of the KPI system for performance and efficiency measurement in critical paths and missing parts.
• Coaching the team in strategic procurement work, project management and procurement due diligence.
• Implementation of AI-supported tools for sourcing, spend analysis and inventory management to optimize inventory.
• Achieved inventory reduction of ~31% through professional inventory management.
• Management of two cost reduction (cost avoidance) programs with quantified results: ~50% reduction in manufacturing costs for one core component and ~64% reduction in material costs for the successor platform through redesign and category sourcing.
• Savings in the low double-digit million range versus the baseline.
• Material groups: contract manufacturing, PCBA, EMS, blower, silicone injection molding, power supplies, batteries, displays, hoses, masks, valves, foams, cables, sensors, wireless modules (2G–5G), telemedicine components, laboratory services.

• The goal of Afworki GmbH IT-Consulting is to make small and medium-sized companies more competitive by overcoming challenges in digitalization, automation, and data management.

• Tailored technology, strategy, and specialist consulting designed to meet the individual needs of each company.

• Analyzing the company's current situation and developing the best possible solution together with the client.

• Using both agile and classical IT project management methods to deliver projects on time and within budget.

• Focusing on automating and orchestrating all data flows in a data warehouse to create a unified and standardized data foundation.

• Considering the dependencies between IT and business to achieve sustainable positive effects.

• Employing modern strategies and tools specifically tailored to the company's needs.

• Supporting digitalization, the introduction of agile working methods, and the creation of up-to-date reports and analyses.

• Objective: streamlining management and enabling well-founded, data-driven decision-making.

• Setting architectural standards for Informatica Power Center development teams
• Maintenance-performance-health for DWH (Exadata) environments
• Qlik Sense / BO reports architectural standards
• Implementing best practices in ETL tasks
• Documentation ETL standards on Confluence
• Dynamic Data Masking rules for GDPR/KVKK regulations by using Informatica DDM tool
• DWH Data model Power Designer
• Upgrade Qlik Sense versions
• Merge all Informatica server's repository databases on one Oracle DB

• Manage WordPress websites, ensuring SEO-friendly structures and high-performance functionality
• Create and optimize Google Ads campaigns, leveraging data to enhance conversion rates and ROI
• Develop Looker Studio & Power BI dashboards to track customer behavior, sales trends, and digital performance
• Implement Google Tag Manager (GTM) and Google Analytics (GA4) to enable precise event tracking and reporting

• Established and led the Enterprise PMO to increase the growth of a security provider in Germany
• Introduced SAFe in portfolio configuration to scale production for a security provider in Germany
• Built ESG performance management and defined KPIs for an energy company in Germany

• Primary point of contact for stakeholders (particularly Group Controlling), responsible for the end-to-end Plan-to-Steer process as well as data-driven corporate planning and performance management using SAP Signavio, SAP Analytics Cloud (SAC), S/4HANA data models, KPI frameworks, reporting, dashboards, self-service BI, and advanced analytics.

• Accountable for requirements and integration management of group-wide SAP BI solutions, including BI standards, data governance, and architecture guidelines.

• Contributed to a global BI transformation program (rollouts, key-user trainings, documentation) to strengthen data literacy and drive continuous improvement.

• Scaled a newly introduced feature from MVP to global rollout within SAP Signavio, reducing customer process modeling time by 40% and increasing NPS from 41 to 63 within two release cycles.

• Valuation support; analysis of assets, ownership/intercompany structures, reporting, and asset-transfer issues