Wei W.

Wei W. Email and Phone Number

Ads Data Science and Engineering @ Amazon
New York, NY, US
Wei W.'s Location
New York, New York, United States, United States
About Wei W.

Seasoned data science practitioner focusing on big data analytics, quantitative insights, and data-informed strategy driving growth for B2B & B2C products across ad tech, social media, streaming media, and e-commerce♦ Skilled in all phases of data analytics life cycle: translating business challenges into analytical questions, developing predictive/descriptive models to solve problems, communicating recommendations back to stakeholders with proven success in revenue generation and cost reduction♦ Experienced in employing both data-backed heuristics and machine learning/statistical modeling/quasi-experimental designs with causal inference techniques to generate actionable insights that solve real-world problems and inform business strategies♦ Strong understanding of content monetization/video advertising, subscription business models; extensive domain knowledge of AdTech (RTB, DSP, DMP, PMP, CDP, etc.), digital marketing, and financial managementTech Stack✪ Data Analysis & Visualization: Python (Advanced), R (Advanced), SQL (Expert), EXCEL(Advanced), Tableau, Datorama, Google Data Studio✪ ETL & Big Data (Working Knowledge): AWS EC2 | S3 | Athena | Redshift, DynamoDB, SageMaker, GCP, MapReduce, Spark, Airflow✪ Digital/Marketing Analytics & AdTech: Hands-on-keyboard Experience with Web/App Analytics (Google Analytics, AppsFlyer, Branch), Segment, Programmatic/Social/Search Media Buying Platforms (The Trade Desk, Facebook Ads Manager, Google Search Ads, and many more)✪ Object-oriented Programming Language (Beginner): Java, HTML/CSS/JavaScript

Wei W.'s Current Company Details
Amazon

Amazon

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Ads Data Science and Engineering
New York, NY, US
Website:
amazon.com
Employees:
734811
Wei W. Work Experience Details
  • Amazon
    Ads Data Science And Engineering
    Amazon
    New York, Ny, Us
    View
  • Amazon
    Data Science/Analytics & Engineering
    Amazon 2023 - Present
    Seattle, Wa, Us
    Publisher Monetization
    View
  • Reddit, Inc.
    Data Science
    Reddit, Inc. 2022 - 2023
    San Francisco, California, Us
    Ads Product & Marketing
    View
  • First Look Media
    Marketing And Product Analytics
    First Look Media 2020 - 2022
    New York, Us
    Covering analytics and research projects for First Look Media's digital properties including its streaming service (https://topic.com) across desktop, mobile, connected TV devices, and its news website the Intercept (https://theintercept.com)[Analytical Toolkit]- Supervised Learning: Regression & Classification for Marketing Media Mix Modeling, Multi-touch Attribution, Data-driven User Acquisition, Predicting Churn from Subscription Datasets, Identifying Digital Product Engagement Levers from Large Scale Clickstream Datasets- Unsupervised Learning: Clustering Audience Segmentation, Market Basket Analysis/Association Rule Mining, Survey Analysis (Factor/Principal Components Analysis)- Experimentation: Applying Scientific Research Methodology to Design Experiments, Generate Hypotheses, Make Causal Inference under the Frequentist/Bayesian Framework for Incremental Improvement in Product Iteration and Paid Media Campaign- Financial/Time Series Forecasting, Fundamental Analysis of Financial Statements
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  • Sawyer Studios
    Marketing Analytics
    Sawyer Studios 2018 - 2020
    New York, Ny, Us
    Sawyer Studios is a boutique marketing agency for the Film, Television, and Streaming Industries.I wore many hats and my responsibilities included Campaign Optimization, Predictive Modeling, Reporting Dashboard, and Analytics Tagging/Pixel Implementation. Some of my notable projects↓- Parasite (2019 Theatrical Release & FYC Awards Campaign), Dark Waters (2019 Theatrical Release), Slay The Dragon (2019 VOD), Apollo 11 (2019 VOD)- Fahrenheit 11/9 (2018 Theatrical Release), Three Identical Strangers (2018 Theatrical Release & FYC Awards Campaign), RBG (2018 Theatrical Release & FYC Awards Campaign), Echo In The Canyon (2018 Theatrical Release), Hotel Artemis (2018 Theatrical Release & VOD)- AMC Networks' streaming services Sundance Now/SHUDDER (Brand Awareness & Performance Marketing)
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  • Laplaca Cohen
    Marketing Analytics
    Laplaca Cohen 2017 - 2018
    Us
    LaPlaca Cohen is the only strategy, design, and advertising firm in the US that exclusively serves the creative and cultural sector.I was responsible for supporting a portfolio of $2 million+ omnichannel marketing campaigns, building customized reporting dashboards, optimizing paid search, and paid social campaigns.Accounts: The Metropolitan Museum of Art, American Ballet Theatre, New York Botanical Garden, The Joyce Theater
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  • Funny Or Die
    Digital Analytics
    Funny Or Die 2016 - 2017
    Los Angeles, California, Us
    Worked with the Head of Digital Programming to develop user acquisition strategy targeting Gen-Z by integrating web analytics and social analytics/listening tools (Google Analytics, Facebook Insights, YouTube Analytics, ComScore and Brandwatch) to identify audience segmentation and map out audience journeys in Tableau and R for actionable insights
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  • Carnegie Mellon University
    Graduate Research And Teaching Assistant
    Carnegie Mellon University 2015 - 2017
    Pittsburgh, Pa, Us
    - Served as Teaching Assistant for two graduate-level courses: Applied Economic Analysis, Database Theory and Practice- Exempted 24 credits of core courses required for my master’s degree and pursued a concentration in Data Analytics- Worked with several non-profit organizations across Marketing, Fundraising, Finance, and Administration to ramp up organizational data literacy and capabilities throughout my graduate studies
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  • Dbs Bank
    Institutional Banking
    Dbs Bank 2012 - 2015
    Singapore, Sg
    DBS is the largest bank in Singapore and Southeast Asia.This chapter of my professional career provided me a solid foundation in the following areas:- Corporate Financial Analysis (Fundamental Analysis of Income Statement/Balance Sheet/Cash Flow)- Deal-making with Cross Functional Partners in Hierarchical Organizations for Bond Issuance, Syndicated Loans, IPOs- Consultative Sales to Meet Monthly Quotas
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Wei W. Education Details

  • Carnegie Mellon University
    Carnegie Mellon University
    Master'S Degree
  • Fudan University
    Fudan University
    Bachelor'S Degree

Frequently Asked Questions about Wei W.

What company does Wei W. work for?

Wei W. works for Amazon

What is Wei W.'s role at the current company?

Wei W.'s current role is Ads Data Science and Engineering.

What schools did Wei W. attend?

Wei W. attended Carnegie Mellon University, Fudan University.

Who are Wei W.'s colleagues?

Wei W.'s colleagues are Simona Peiksteina, Megan Gonn, Prisca Sapero, Io Sono, Uluc Alec, Elif Ezim, Ejaz Ahmed.

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