Artificial Intelligence

• Collect, clean, and analyse large datasets from multiple sources
• Develop, test, and deploy predictive and prescriptive models using statistical and machine learning techniques
• Collaborate with cross-functional teams (engineering, product, operations, marketing, etc.) to identify data-driven opportunities and implement solutions
• Create clear visualizations and dashboards to communicate insights to technical and non-technical stakeholders
• Design and run experiments (A/B testing, simulations) to validate hypotheses
• Continuously improve data models and algorithms for performance, accuracy, and scalability
• Document models, assumptions, and outcomes in a structured and reproducible manner
• Stay updated on emerging tools, frameworks, and best practices in AI, ML, and data science

Consultant – Tech Consulting, AI and Quantitative Modelling

AI & ML Consultant

AI Evaluation Analyst