
Chihyuan Yang
Marketing Specialist

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About me
Senior Data Scientist at Apolitical
Education

University of Warwick
2018 - 2019Master of Science - MS Behavioral and Data Science
National Taiwan University
2005 - 2009Bachelor of Business Administration - BBA Business Administration and Management, General
Experience

Want Want China
Oct 2010 - Aug 2012Marketing SpecialistCoordinate 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 2017Overseas Sales ManagerNew 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 - nowData Scientist - Growth/Marketing Focus
Nov 2022 - Dec 2023Data Scientist - Engineering Focus
Dec 2020 - Dec 2022Junior Data Scientist
Mar 2020 - Dec 2020Data Fellow
Dec 2019 - Mar 2020
Licenses & Certifications
- View certificate

Google Advanced Data Analytics
CourseraOct 2023 - View certificate

Natural Language Processing Specilization (DeepLearning.AI)
CourseraDec 2020 - View certificate

Algorithms on Graphs
CourseraNov 2018 - View certificate

Data Structures
CourseraSept 2018
Languages
- enEnglish
- chChinese
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