Grigor Nedelev

Led Generative AI Initiatives: Directed the development of InvestiSense and HeiFi (Heineken Financial Insights), two AI-driven tools that enhanced sentiment analysis, financial insights, and decision-making across business units:

• InvestiSense:

- Developed an in-house sentiment analysis tool to assess press releases/scripts

- Features included sentiment scoring, category distribution, detailed recommendations, PowerBI dashboards, and data export functionalities

- Improved messaging calibration and strategic communication

• HeiFi:

- Built a tool to analyze competitors’ annual reports and extract financial data using Azure OpenAI, LangChain, and Azure Document Intelligence

- Enabled streamlined PDF-to-Excel conversions and strategic data interpretation

Product Leadership: Owned the roadmap, strategy, and stakeholder engagement for these projects, demonstrating strong prioritization and alignment with business needs

Technical Leadership: Collaborated with engineering teams to implement ETL pipelines, data governance frameworks, and scalable machine learning models, leveraging Streamlit, Power BI, and cloud platforms

• Designed and implemented a company-wide Azure Data Lakehouse, integrating private and public cloud systems for scalable data processing and analytics
• Delivered Proof of Concepts (PoCs) and Minimum Viable Products (MVPs) for key stakeholders, optimizing workflows and reducing operational inefficiencies by 30%
• Established governance practices to align technical solutions with business objectives, collaborating with stakeholders to define long-term strategies

• Transitioned HP from basic reporting to advanced data intelligence by developing a scalable on-premises data warehouse on Microsoft SQL Server with machine learning capabilities
• Built ETL pipelines and data models to integrate diverse data sources, driving business intelligence and real-time decision-making

• Developed tools and processes to enhance clinical trial efficiency, including automated site selection and performance tracking systems
• Delivered actionable insights through advanced data extraction and visualization, improving decision-making for project timelines and resource allocation

• Designed and coded queries and reports across multiple platforms, ensuring accurate and actionable data insights for stakeholders
• Standardized data entry processes, improving reporting quality and fostering a culture of data-driven decision-making

• Delivered monthly and daily performance reports to track progress against key business targets
• Oversaw budgets and capital plans, optimizing resource allocation and financial accuracy