Chihyuan Yang

Chihyuan Yang

Marketing Specialist

Followers of Chihyuan Yang258 followers
location of Chihyuan YangLondon, England, United Kingdom

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  • Timeline

  • About me

    Senior Data Scientist at Apolitical

  • Education

    • University of Warwick

      2018 - 2019
      Master of Science - MS Behavioral and Data Science
    • National Taiwan University

      2005 - 2009
      Bachelor of Business Administration - BBA Business Administration and Management, General
  • Experience

    • Want Want China

      Oct 2010 - Aug 2012
      Marketing Specialist

      Coordinate between sales division of branches and product departments. Devise and introduce marketing campaign for branches, supervise and analyze product sales of branches.

    • Tai Yuen Textile Ltd. Co.

      Oct 2012 - Sept 2017
      Overseas Sales Manager

      New market development sales in China.

    • Apolitical

      Dec 2019 - now

      • Dissect key metrics by business functions to report granular impacts from campaigns• Design and report metrics to analyse platform growth, e.g. User LifeCycle, Churn, Referral ...etc• Collaborate with stakeholders (product owners, campaign organizers, managers...etc) to interpret business needs for analytics• Transform open questions into measurable metrics with probabilistic approach• Create Python package to efficiently calculate Cohort Retention Rates and Rolling Metrics• Data Modelling with DBT to build ELT pipeline on BigQuery, scheduled by Airflow• Analyse large-scale user events data (Google Analytics & HubSpot) to extract insights about platform engagements Show less • Model platform content topics with Topic Modelling. Initially developed on scikit-learn, later migrated to PySpark on Dataproc cluster• Build Named-Entity Recognition model with SpaCy to extract entities from articles. With the entities and relations, further create triples to enrich our knowledge graph• Create recommendation model based on content similarities and later migrate to PySpark• Build collaborative-filtering recommendation system with graph database to enable (almost) realtime personalised recommendations• Lead the development of streaming data pipeline on BigQuery. Initial proof-of-concept using Kubernetes, Apache Kafka, Spark Streaming and then BigQuery. Later moved to use Google Analytics 4 and BigQuery• Develop API to serve personalised graph database recommended contents with Flask & SPARQL, improving user homepage experiences• Lead the upgrade of analytics framework from Universal Analytics to Google Analytics 4. Its configurations are managed by Google Tag Manager, which is version-controlled on GitLab through its Python API• Follow Test-Driven Development with all kinds of Python projects, including Flask, Airflow DAGs, PySpark jobs, Graph models...etc Show less

      • Senior Data Scientist

        Nov 2023 - now
      • Data Scientist - Growth/Marketing Focus

        Nov 2022 - Dec 2023
      • Data Scientist - Engineering Focus

        Dec 2020 - Dec 2022
      • Junior Data Scientist

        Mar 2020 - Dec 2020
      • Data Fellow

        Dec 2019 - Mar 2020
  • Licenses & Certifications