Kamil Hudaszek, MSc
Capital markets and investments, New technologies and innovation
Kamil Hudaszek specialises in the design and implementation of artificial intelligence–based solutions and advanced data analytics, with particular emphasis on applications in finance, capital markets, and decision-making under uncertainty. He combines strong analytical expertise with hands-on implementation experience, delivering projects at the intersection of research, technology, and business practice.
His work focuses on the use of alternative and unstructured data, machine learning methods, reinforcement learning, and natural language processing (NLP) to develop decision-support systems, risk assessment tools, and behavioural prediction models. He has experience working with financial and medical data, as well as information derived from digital and social media sources.
The projects he delivers range from AI prototyping to the integration of advanced analytical solutions into existing organisational systems, including cloud infrastructure and business process automation.
Do you need an interview or an expert comment?
Get in touch with our expert.
Services for business
- design and implementation of artificial intelligence and agent-based systems
- data analytics and predictive models supporting financial and managerial decision-making
- automation of reporting processes and risk analysis
- expert advisory services on the use of alternative data
- implementation and optimisation of CRM tools and analytical systems
- delivery of research and development projects, including AI prototypes
- training and support for teams in the area of digital innovation
Sectoral specialisation
- artificial intelligence and machine learning in finance and business
- quantitative, alternative, and unstructured data analysis
- capital markets, company valuation, and risk analysis
- AI-based decision support systems
- reinforcement learning and NLP methods
- automation of business and reporting processes
- integration of cloud solutions and IT tools
Research expertise
- applications of artificial intelligence in decision-making under uncertainty
- integration of alternative and unstructured data with quantitative datasets
- use of reinforcement learning and NLP in the analysis of digital media content
- medical image analysis using convolutional neural networks (CNN)
- research on process automation and recommender systems
- development and implementation of AI solutions in cloud environments
- combining research methods with implementation practice across different economic sectors
Wrocław University of Economics and Business
WUEB focuses its research on six key pillars: analytical economics and finance; management and quality; digital economy and data science; sustainable supply chains; food technology; and public policies supporting ESG. Interdisciplinary teams combine expertise across fields and translate research results into solutions ready for implementation.
As an entrepreneurial university, we co-create value together with business—from rapid expert consultations to long-term R&D programmes. Our interdisciplinary teams deliver advanced data analyses, ESG and quality audits, business models, and solutions based on AI and the green transition; we measure outcomes with shared KPIs such as partner satisfaction, implementation value, and relationship durability.
Through a “one-stop” approach, we connect experts, research infrastructure, and technology transfer managers to provide ready-to-use recommendations and solutions at the pace required by the market.
