Senior Data Scientist and Product Specialist with expertise in AI and Analytics

I'm a data scientist specializing in building production-ready machine learning solutions across industries. Over the past 8 years, I've developed and implemented diverse systems including demand forecasting for automotive manufacturing, customer acquisition models in telecommunications, and decision support tools in retail.
My work spans from practical business applications like financial asset valuation and customer service automation to complex data engineering challenges. At organizations like IKEA, Capgemini, and Telenor, I've built end-to-end machine learning pipelines, led analytics teams, and designed data architectures that drive business decisions.
My technical background includes:

• Machine learning implementation using Python, R, and modern cloud platforms
• Predictive modeling for forecasting and classification
• Data pipeline architecture and engineering
• Analytics and business intelligence solutions
• Natural language processing and LLM integration
• MLOps and production deployment

With degrees in Management and International Business, I understand both technical and business perspectives. I focus on building practical, maintainable solutions that deliver measurable results.
I'm available for projects involving predictive modeling, machine learning implementation, analytics engineering, or data infrastructure development. My approach emphasizes understanding the core business problem first, then building appropriate solutions using the right tools for the job.