Sylvia Qinghua Liu, PhD

Experienced Data Scientist

Oslo, Oslo, Norway

About

Data scientist with a deep statistical understanding. Love writing code to transform data into insights and user applications, with the help of machine learning. Passionate about communicating complex technical concepts with people of all backgrounds. Expert foodie & wine nerd, plays the piano for fun.

Experience

  • Cheffelo (Oslo, Norway)
    • Lead Data Scientist
      Oct 2024 - Present · 1 yr 9 mos

      - Developed, deployed and maintain a recommender algorithm for making personalized dishes recommendations for all Cheffelo's customers - Coordinate the data science discipline's project planning and scoping

    • Data Scientist
      Apr 2023 - Sep 2024 · 1 yr 6 mos

      - Build, deploy and maintain weekly forecasting model code base (python + SQL) in a production environment - Maintain and monitor pipelines in Azure Data Factory - Automate stakeholders' reporting procedures using Azure Logic Apps - Automated budget processes by implementing a Streamlit App

  • Data Scientist at Oda
    Apr 2022 - Mar 2023 · 1 yr

    - Built a deep neural network-based recommender system to personalize products newly added to the Oda online store - Implemented, deployed and conducted post-deployment evaluations of the Unique-for-you recommendation surface, which showcases inspirational personalized product recommendations - Shared knowledge on Bayesian statistics and how to interpret Bayesian A/B test results, to audiences both inside and outside the Data & Insight discipline by holding presentations and offering consultations

  • Data Scientist at Coop Norge
    Apr 2020 - Mar 2022 · 2 yrs

    - Delivered an optimization tool for stakeholders to achieve higher cost-efficiency of a marketing channel and evaluated the impact of the changes using predictive analysis and machine learning - Designed controlled experiments and performed statistical analysis to measure a marketing campaign’s impact on in-store traffic and revenue - Developed a boosting-based prediction model using grocery transactional data to identify target customers for a business partner of Coop - Designed and implemented a recommendation algorithm to help Coop members discover relevant membership benefits - Part time first while completing PhD. Full time after PhD contract completion

  • IT Analyst intern at Barclays Investment Bank
    Jan 2014 - Jun 2014 · 6 mos

    • Collected and analyzed user requirements from Fixed Income Settlement Operations teams in Tokyo and Singapore • Designed and implemented two user interfaces using C# and Oracle SQL for the FISS software • Conducted user acceptance testing and trained settlement team members to operate new interfaces

  • Undergraduate Researcher at Nanyang Technological University, Singapore
    Aug 2013 - Jun 2014 · 11 mos

    • Compared and contrasted software testing methods through interviewing data and literature reviews for commercial and non-commercial software • Designed test cases and wrote automated test scripts using Java for a student E-learning system