I provide advanced modelling solutions to help businesses understand complex systems, predict outcomes, and optimize decision-making. With a strong background in Mathematics and Statistics, I combine theoretical knowledge with practical applications to deliver robust and scalable models.
My expertise includes Markov Chains, Game Theory, and advanced mathematical modelling, enabling the analysis of customer behavior, competitive dynamics, and strategic planning scenarios. These models are tailored to simulate real-world processes and support evidence-based decision-making.
What I deliver:
1. Markov Chain models for customer lifecycle and churn prediction.
2. Game Theory models to simulate competitive pricing and strategy.
3. Predictive models for risk, performance, and resource allocation.
4. Clear documentation and visual reports to support business use.
Applications include:
- Churn analysis and retention strategies for SaaS and telecom.
- Competitive pricing and market simulations.
- Strategic decision-making in finance, marketing, and operations.
- Scenario planning and risk modelling.
My modelling services provide actionable insights, reduce uncertainty, and help organizations anticipate outcomes in competitive and dynamic environments.