Fang Yuan

Fang Yuan Email and Phone Number

Data Science manager at Apple @ Apple
Fang Yuan's Location
San Francisco, California, United States, United States
Fang Yuan's Contact Details

Fang Yuan personal email

n/a
About Fang Yuan

Building data product in production to help with better decision makingMachine learning - clustering, classification, neural network, feature engineering, model validation, lifecycle management, machine learning platformA/B testing - hypothesis testing methodology, calculation/data pipelineInfra: SQL data warehouse, kubernetes, docker, data storage, databricks, HDFS, sparkTools and language: Python, pyspark, R, SQL, shell

Fang Yuan's Current Company Details
Apple

Apple

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Data Science manager at Apple
Fang Yuan Work Experience Details
  • Apple
    Data Science Manager
    Apple Sep 2023 - Present
    Cupertino, California, Us
    Lead a team that operates at the junction of data science and engineering. We focus on building data-driven tools and capabilities to advance our experimentation by accelerating research and enhancing operational efficiencies. We aim to empower our organization with comprehensive and rigorous data insights to facilitate fast feature iteration.
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  • Apple
    Senior Data Scientist
    Apple Feb 2019 - Oct 2023
    Cupertino, California, Us
    Evaluate search/recommendation algorithms for AppStore, Apple Music etc. spark, scala, python, R, Hadoop, MapReduce
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  • Microsoft
    Data & Applied Scientist
    Microsoft Sep 2017 - Feb 2019
    Redmond, Washington, Us
    • Uncover user pattern with machine learning algorithm and deploy to productiono clustering, feature engineering, model validation, pyspark, python, spark SQL, mllib, docker, kubernetes • Design and build A/B testing platformo experiment design, hypothesis testing methodologyo KPI/metric define and developo infrastructure designo SQL, SQL data warehouse, python, spark, data/calculation pipeline • Build an automate KPI calculation pipelineo monitor funnel health and inform business decision making
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  • Roche
    Data Scientist
    Roche Dec 2014 - Sep 2017
    Switzerland 🇨🇭 , Ch
    ● Provide statistical end-to-end data support to clinical team for FDA filing or trial decision making. Plan, specify, design, develop and implement programming solutions to tract safety and efficacy findings of drug and implement hypothesis testing, mixed model, survival analysis etc to establishing a causal impact.● Query, process and map structured and un-structured data. Integrate volumes of data from multiple internal and external sources and create interactive data product like R shiny and spotfire page for stakeholders.● Build R shiny apps, SAS macros and scripts to provide automation of process and reduce the effort for data product. Providing solutions to improve data architecture and analysis pipeline.● Manage data and reporting portion of project by planning timeline and milestone. Collaborating with a multi-disciplinary team combined with Scientists, Clinical Operations, Regulatory etc. to ensure clinical trial going smoothly.
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  • Amgen
    Statistical Analyst
    Amgen Jun 2013 - Dec 2014
    Thousand Oaks, Ca, Us
    ● Leverage knowledge of experiment design, protocol and statistical analysis plan to build data pipeline and reporting for clinical trial study.● Write SAS Programs to generate and validate FDA CDISC compliant data models and reporting tables and graphs in UNIX environment.● Based on statistical analysis plan and output spec provided by Statistician, implement models and generate TFLs (table, figure and listings) for regulatory reporting in SAS.● Assist in testing SAS departmental utility tool in accordance with validation procedures
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  • Ultralingua Inc
    Marketing Analyst
    Ultralingua Inc May 2012 - Aug 2012
    Twin Cities, Minnesota, Us
    * Lead statistical analysis and reporting of all sales data and campaign results to inform business strategies* Evaluated sales data to suggest a new price point for Mac software, conducted two pricing trials and reported onresults, leading to a new price with a 5% increase in total net revenue* Conducted regression analysis to provide marketing department with 3 and 6-month revenue predictions for theprimary product line* Improved process for data evaluation by introducing T-test and ANOVA analysis
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Fang Yuan Education Details

  • University Of Minnesota
    University Of Minnesota
    Mathematics And Statistics
  • University Of Minnesota
    University Of Minnesota
    Mathematics And Statistics

Frequently Asked Questions about Fang Yuan

What company does Fang Yuan work for?

Fang Yuan works for Apple

What is Fang Yuan's role at the current company?

Fang Yuan's current role is Data Science manager at Apple.

What is Fang Yuan's email address?

Fang Yuan's email address is yu****@****ene.com

What is Fang Yuan's direct phone number?

Fang Yuan's direct phone number is +141580*****

What schools did Fang Yuan attend?

Fang Yuan attended University Of Minnesota, University Of Minnesota.

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