Experience

Adfenix

• Sweden
• Advertising Services
• 1 - 100 Employee

• Marketing Data Scientist

  • Aug 2021 - Present



Forza Football

• Sweden
• Spectator Sports
• 1 - 100 Employee

• Data Scientist

  • Sep 2018 - Jun 2021

  Forza Football is a livescore app providing fast and accurate results from 1000 leagues to 2+ million weekly active football fans all over the world. As a Data Scientist I work in various cross-functional product teams to enable a data driven development, by creating success metrics, designing A/B-tests, and researching event data to find actionable insights. I also work towards improving the data driven culture in the company. With the Data Science Team I rebuilt and maintained the data infrastructure, as well as supporting teams lacking embedded Data Scientist with adhoc analytics. - To increase one of our revenue streams, I worked closely with UX researcher, Product Manager, and developers to create a new gamified in-app betting feature. As a team we did user interviews, identified long hanging fruits and executed multiple A/B-tests to iteratively optimize the design of the signup funnel. I was responsible for creating metrics and designing the experiments , as well as creating and measuring the progress of key metrics.- Validated and improved decision making in new crowdsourced data collection strategy through research and exploratory analysis.- Lead a project to research insufficient event tracking and presenting estimations of required time and resources to CPO.- Decreased server costs by 25% by rebuilding the data infrastructure using Amazon AWS, Apache Airflow, Pyspark and Google Cloud Platform. Show less

• Master Thesis Project

  • Feb 2018 - Aug 2018

  Predicting retention among application users with online ensemble learning models.Supervisor: Rebecka Jörnstenhttps://odr.chalmers.se/bitstream/20.500.12380/300575/1/Master_Thesis_Olof_Ekborg.pdfPredicting user retention and churn using state-of-the-art ensemble classification methods such as Random Forest and XGBoost. The models were continuously updated in an online learning environment to utilize both historical and recent data in a computationally low-cost manner.The project was developed using SQL and Jupyter Notebook and consisted to a large extent of data processing and feature engineering to design an informative training dataset. Show less



Delphi

• United Kingdom
• Motor Vehicle Manufacturing
• 700 & Above Employee

• Student Engineer

  • Jun 2017 - Aug 2017

  Assisting with needed tasks during summer holidays, including developing a Python script which efficiently highlighted which read signs were present in each of the several thousand recorded log-files. Assisting with needed tasks during summer holidays, including developing a Python script which efficiently highlighted which read signs were present in each of the several thousand recorded log-files.



IFK Göteborg

• Sweden
• Spectator Sports
• 1 - 100 Employee

• Evenemangsinformatör

  • Aug 2013 - Apr 2017



Systembolaget AB

• Beverage Manufacturing
• 700 & Above Employee

• Sommarvikarie

  • Jun 2016 - Aug 2016



Adicio AS

• Norway
• Advertising Services
• 1 - 100 Employee

• Säljare

  • Sep 2012 - May 2013