Sweden

Data Product Management

M.Sc. Engineering Physics

David Zenkert

Data Science Manager

Product analytics

Collaboration

Problem-solving

Time management

Critical-thinking

Empathy

Team player

Organisation skills

Conflict resolution

Stakeholder management

Leadership

Analytical skills

Advanced data analytics

AI/ML

Business intelligence

Cloud computing

Data visualisation

Machine learning

Mathematics

Pandas

Postman

Python

Airflow

Docker

GitHub

Jupyter Notebook

Matplotlib

Numpy

REST API

- Competence Lead for 3 Data Scientists. Conducting 1-2-1s, salary review and overall responsible for personal development.

- Leading day to day work in Financial Modeling Team, Stakeholder management, Roadmap and long term vision and mission for the team.

- Part of Competence Lead Tactical Group, developing e.g. short term and long term target state for the Data Science competence.

- Part of the Data Science Hiring Pipeline at Klarna. Conducting interviews, managing the hiring pipeline structure and experience.

- Supervised master thesis "Forecasting Volume of Sales During the Abnormal Time Period of COVID-19"
Link:
https://kth.diva-portal.org/smash/record.jsf?pid=diva2%3A1596315&dswid=3624

- Forecasting merchant behaviour, volume and purchases to create underlying material for business planning. Created road map,  research initiatives and structured the development of the business plan process. Forecasted 500 000+ time series in each business plan iteration using Python, FBprophet, Docker and AWS Batch jobs.

- Modeling Merchant Debts and managed Treasury stakeholders.

- Supervised Merchant Receivables modeling and Purchase Service Providers modeling.

- Created and maintained Volume & Purchase Business Plan dashboard, one of the top 10 most used dashboards at Klarna.

- Research Lead on predictive modeling of cancellations using passenger booking data. Improved accuracy of cancellation predictions by more than 25%.

- Data Driven Decisions Lead on the Icelandair implementation, including creating new KPIs, built dashboards and advised on strategic outcomes.

- Two successful implementations of the revenue management system for Finnair and Icelandair.

- Set up price experiments, built and deployed predictive machine learning models in production for airline ancillaries.

- Calibration of the revenue management forecast engine and the willingness to pay model in production. 

- Part of airline research topic "Demand Forecast Accuracy" a collaboration with PODS research at MIT.

No-show forecasting using machine learning algorithms on passenger booking data.
Link: https://lup.lub.lu.se/student-papers/search/publication/8903812

Military service at Uppsala F16 in a light infantry company in the Swedish Air Force

General Mentorship Session

David Zenkert🇸🇪

About David Zenkert

Expertise

Sessions with David Zenkert