Tim Lin

Tim Lin Email and Phone Number

Data Scientist | Product Analyst Manager at Google @ Google
Mountain View, CA
Tim Lin's Location
Irvine, California, United States, United States
Tim Lin's Contact Details

Tim Lin personal email

n/a
About Tim Lin

• 15+ years of experience as a Data Science and Analytics professional across Tech, e-Commerce, Finance, Digital Marketing, and Management Consulting industries.• 10+ years of experience in People Management and ownership of Advance Analytics projects.• Skilled in end-to-end analytics, with expertise in Data Analysis, Statistic, Machine Learning, and Data Visualization for applications such as Experiment Analysis, A/B Testing, Business Measurement, Personalization, Funnel Optimization, Cohort Analysis, Forecasting, and LTV assessment.• Strong hands-on analytics skills in SQL, Python, R, SAS, AWS, Tableau, Looker, Adobe Analytics, Google Analytics, Alteryx, and more.• Certified SAS Advanced Programmer and Certified Statistical Business Analyst.• U.S. citizen with extensive international work experience.Specialties: Marketing Analytics, Data Mining, Statistical Modeling, Machine Learning, Data Visualization,Operation Research, Optimization, Heuristic algorithm, Supply Chain Management (SCM), Scheduling, Marketing, Digital Analysis, Google Analytics (GA), Business Management, Project Management (PMP Training), SAS Certified Advanced Programmer, Statistical Business AnalysisProgramming and Software skills: - R, Tableau, Looker, SAS (Base, EG, VA), Alteryx, Adobe Analytics, Google Analytics, Salesforce Marketing Cloud, iSpot, SPSS, Matlab, Lindo/Lingo, Minitab, AB Test, Shiny, Utility Test, FlexSim- Python, SQL, Java, C#, C/C++, JavaScript, Json, RDBMS, Teradata, Excel VBA, Social API, Restful, Git, Cmd

Tim Lin's Current Company Details
Google

Google

View
Data Scientist | Product Analyst Manager at Google
Mountain View, CA
Website:
google.com
Employees:
1
Company phone:
916.253.7820
Tim Lin Work Experience Details
  • Google
    Staff Data Scientist Manager
    Google Nov 2022 - Present
    Mountain View, Ca, Us
    • Lead and manage a team of Data Scientists to drive support for core Search products.• Spearhead experiment analysis and evaluate product performance to enhance user experience and deliver value.• Extract actionable insights, identify business opportunities, and perform headroom analysis to inform and influence strategic decisions and priorities.
  • Experian
    Senior Manager, Data Science & Analytics
    Experian Nov 2021 - Nov 2022
    Costa Mesa, Ca, Us
    • Directed end-to-end analyses of business performance and presented proactive recommendations to executive level audiences for strategic decision-making, driving over $12M in incremental annual recurring revenue within a year.• Enabled personalized customer experience by partnering with cross-functional teams such as Product, Technology and Marketing to enhance ROI for the subscription and lead generation business utilizing machine learning.• Identified opportunities by data-driven approach to optimize e-commerce conversion and enable persona marketing campaigns that increased revenue per visit by 10%.
  • Experian
    Analytics Manager, Customer Experience (Cx)
    Experian Dec 2017 - Nov 2021
    Costa Mesa, Ca, Us
    • Led a centralized analytics team to partner with CRM, Ecommerce, Product and Channel Marketing teams, focusing on opportunity sizing, experimental design, QA, data ETL, reporting, modeling, and deep-dive analysis.• Oversaw data insight on customer engagement across multi-touch points including email, mobile push, social media, call center, chat, and content to optimize customer experience that drove 30%+ growth of MAU and 20%+ growth of NPS.• Supported new product launches by translating business questions to quantitative measurement, identifying KPIs, and providing relevant insights as business continued to scale and grow.• Built statistical models to measure and monitor a customer’s LTV to help maximize revenue across multiple business lines.
  • Experian
    Data Scientist, Digital Marketing
    Experian Nov 2016 - Dec 2017
    Costa Mesa, Ca, Us
    • Developed statistical model through Python and R to predict customer attrition and engagement behavior, driving over $5M in incremental subscription revenue.• Performed ad-hoc analyses and built automating dashboards to extract actionable insights that enabled end-to-end omni-channel growth strategy, business operation optimization, and customer persistency enhancement.
  • Institute For Information Industry (Data Technology And Application Institute, Data)
    Engineer / Lead Analyst
    Institute For Information Industry (Data Technology And Application Institute, Data) Jul 2015 - Aug 2016
    Taipei, Taiwan, Tw
    • Led an analytics consultant team in managing complex Fortune 500 accounts from a wide variety of industries, including e-commerce, travel, the public sector, and finance, with multi-million-dollar project scopes.• Developed a recommender engine that helped retailers boost conversions by 300% and customer retention rates by 12%.• Developed an omni-smart retail solution for 150+ local SMEs, which increased revenue by 19%.
  • Institute For Information Industry (Data Technology And Application Institute, Data)
    Associated Engineer/ Data Analyst
    Institute For Information Industry (Data Technology And Application Institute, Data) Apr 2012 - Jul 2015
    Taipei, Taiwan, Tw
    • Developed a machine-learning driven healthcare sense-and-respond system & dashboard for 10+ local schools utilizing R.• Predicted traffic load from a big data model and extracted insights to balance transportation demand and supply.
  • Tanzania International Educational Volunteers Group
    It Educator, Volunteer
    Tanzania International Educational Volunteers Group Jul 2011 - Aug 2012
    • Joined the Tanzania International Educational Volunteers Group of National Tsing Hua University; dedicated to improving education, environments, and computer skills education for Tanzania local villagers, junior and senior high school students.• Elected as the Director of Public Relationship team and led a team of five volunteers to plan and execute fundraising campaigns; successfully raised 100,000 USD and 100+ computers from company foundations, educational scholarships and individual donors.
  • United Microelectronics Corporation (Umc)
    Industry Engineer, Intern
    United Microelectronics Corporation (Umc) Jul 2010 - Aug 2010
    Hsinchu, Tw
    • Responsible for automating production line daily reporting processes by Excel VBA, cmd and Java to save 20% time cost in workflow. • Responsible for production plan optimization by using SCM approaches and modeling. • Honored by NTHU engineering college and won the Global Youth Leadership Awards.

Tim Lin Education Details

  • National Tsing Hua University
    National Tsing Hua University
    Industrial Engineering And Engineering Management
  • National Tsing Hua University
    National Tsing Hua University
    Industrial Engineering Minor In Computer Science

Frequently Asked Questions about Tim Lin

What company does Tim Lin work for?

Tim Lin works for Google

What is Tim Lin's role at the current company?

Tim Lin's current role is Data Scientist | Product Analyst Manager at Google.

What is Tim Lin's email address?

Tim Lin's email address is ti****@****plc.com

What schools did Tim Lin attend?

Tim Lin attended National Tsing Hua University, National Tsing Hua University.

Who are Tim Lin's colleagues?

Tim Lin's colleagues are Michael Shirley, Helen Zhang, Jane Bure, My Name Hridoy, Gianni Magri-Stella, Najarro Sarce, Miret Guillaume.

Free Chrome Extension

Find emails, phones & company data instantly

Find verified emails from LinkedIn profiles
Get direct phone numbers & mobile contacts
Access company data & employee information
Works directly on LinkedIn - no copy/paste needed
Get Chrome Extension - Free

Aero Online

Your AI prospecting assistant

Download 750 million emails and 100 million phone numbers

Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.