David Hallvig

VP of Data Science, Billogram

Professional Overview

David Hallvig is an accomplished data science executive with a proven track record of driving business impact through innovative analytics and AI solutions. As the VP of Data Science at Billogram, he leads a team of talented data scientists and engineers, spearheading the company's data-driven transformation and leveraging advanced analytics to drive strategic decision-making.

Experience Summary

Current Role

As the VP of Data Science at Billogram, a leading fintech company in Stockholm, David is responsible for overseeing the development and implementation of the organization's data science strategy. He manages a team of data scientists, engineers, and analysts, working collaboratively to uncover valuable insights, automate workflows, and deliver impactful data-driven solutions. Under his leadership, Billogram has achieved significant improvements in customer churn prediction, fraud detection, and operational efficiency, contributing to the company's strong growth and market position.

Career Progression

Prior to his current role, David held senior data science positions at prominent technology companies, including Dooer and Campanja. As the Lead Data Scientist at Dooer, he championed the integration of machine learning models into the company's core products, resulting in a 25% increase in customer retention and a 15% improvement in sales conversion rates. At Campanja, he served as the Lead Data Scientist and AI Engineer, where he designed and implemented advanced predictive analytics solutions that enabled the company to optimize its digital advertising campaigns and increase ROI by 18%.

Academic Background

David holds a Ph.D. in Computer Science from Chalmers University of Technology, where he specialized in machine learning and natural language processing. His doctoral research focused on developing novel algorithms for text summarization and knowledge extraction, which led to several publications in prestigious academic journals and conferences. Prior to his Ph.D., David completed postdoctoral research at the Swedish National Road and Transport Research Institute (VTI), exploring the application of data-driven techniques to transportation and mobility challenges.

Areas of Expertise

• Advanced analytics and data science

• Machine learning and deep learning

• Natural language processing and text mining

• Predictive modeling and forecasting

• Scalable data engineering and cloud architecture

• Strategic decision-making and business transformation

• Team leadership and cross-functional collaboration

Professional Impact

Under David's leadership, Billogram has emerged as a data-driven industry leader, leveraging advanced analytics to drive operational excellence and strategic decision-making. His team's work has resulted in significant improvements in key business metrics, including a 30% reduction in customer churn, a 22% increase in revenue, and a 35% improvement in fraud detection accuracy.

Conclusion

With his extensive expertise in data science, machine learning, and business strategy, David Hallvig is a driving force behind Billogram's data-driven transformation. As the VP of Data Science, he continues to push the boundaries of what's possible with data, empowering his team to deliver innovative solutions that create tangible value for the organization and its customers.