GithubHelp home page GithubHelp logo

Hi there šŸ‘‹ I'm Claire Bai! Welcome to my page šŸ™‚

Associate Director, Data & Media Science @ KNOWN GLOBAL
We leverage advanced analytics and machine learning to enhance advertising efficiency across all channels | Data-Driven Marketing | Media Science

šŸ“« How to reach me: [email protected]

šŸ“„ Resume

šŸŒ± Iā€™m currently deepening my expertise in Python and data science methodologies, with a special focus on my dissertation that explores the intersection of marketing and artificial intelligence...

āš” Fun fact: Avid traveler with a penchant for exploring new cultures; Enthusiast of experimental cooking; Passionate about teaching and sharing...

A little more about me, In addition to my professional and academic pursuits, I founded Bonjour Girls, a vibrant community dedicated to empowering women through connection, education, and support. This initiative reflects my commitment to leveraging data for meaningful impact, embodying my belief in the power of community and technology to foster positive change. We have about 1,500 members now, find more details at bonjourgirls.org.

With over 8 years of motivated, detail-oriented, and responsible experience in data analytics, marketing science, and business intelligence within leading tech and media firms, I've spearheaded initiatives that drove significant improvements in marketing effectiveness and profitability. My journey has been fueled by a passion for transforming complex data into actionable insights and strategic decisions.

Graduated with an M.S. in Integrated Marketing from New York University and currently a Ph.D. Candidate in Data Sciences at Harrisburg University of Science & Technology. My dissertation delves into how artificial intelligence can revolutionize marketing strategies, aiming to merge AI with marketing to uncover new levels of efficiency and personalization. I'm captivated by the power of data to tell stories and drive innovation. Continuously seeking to expand my knowledge and capabilities in data science, I aim to harness data in novel ways to illuminate paths forward in marketing and beyond.

Programming: SQL, R, Python (Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, SciKit-Learn,PyTorc), Hadoop
Certifications: Proficient in Google Analytics, advanced analytics, and machine learning applications
Tools: Tableau, Datorama, Google Adwords, Facebook Ads Manager, and more
Statistics & Machine Learning: Expert in A/B Testing, Marketing Mix Modeling (MMM), statistical analysis, machine learning, and deep learning techniques

Some of my projects...

Marketing Science & Analytics

  • Led the development of a Global Advertising Budget Framework, optimizing a $210M budget for improved ROAS
  • Spearheaded comprehensive campaign measurement strategies, achieving a 15% improvement in media effectiveness

Research Experience

  • Conducted market basket analysis for the Pennsylvania Liquor Control Board, boosting revenue and refining marketing strategies through advanced analytics and machine learning.

Business Intelligence

  • Pioneered the integration of Marketing Mix Models at INITIATIVE, enhancing marketing strategies for 10+ client product lines

My dissertation represents a pivotal journey into combining the realms of marketing and AI to not only predict consumer behavior more accurately but also to create more personalized and effective marketing strategies.

Feel free to reach out if you're interested in data-driven marketing, analytics, or if you have a project in mind that aligns with my expertise. Let's explore how we can use data to make a difference!

Claire Bai's Projects

-credit-card-applications icon -credit-card-applications

This project aims to automate the process of credit card application approvals using machine learning techniques, similar to practices employed by commercial banks.

analyzing-tv-data icon analyzing-tv-data

This project delves into the spectacle of the Super Bowl, analyzing game outcomes, viewership impacts, and the evolution of TV ratings and ad costs. It also explores halftime show performances.

disney-movies-and-box-office-success icon disney-movies-and-box-office-success

Exploring the legacy of Walt Disney Studios, this project dives into a dataset of 579 films dating back to the inaugural "Snow White and the Seven Dwarfs" in 1937. Our analysis aims to uncover the factors contributing to the success of Disney movies, utilizing data compiled by Kelly Garrett.

hadoop-mapreduce icon hadoop-mapreduce

Changed readme. This is a Java project that is used for a simple MapReduce Word Count problem.

investigating_nextflix_movies icon investigating_nextflix_movies

we'll delve into the Netflix data to see if we can determine whether movie lengths are actually getting shorter and explain some of the contributing factors, if any.

mapreduce-wordcount icon mapreduce-wordcount

This project leverages Java and Hadoop MapReduce to analyze text and flight data, focusing on a classic Word Count problem and detailed flight data analysis.

nyc-public-school-sat-performance icon nyc-public-school-sat-performance

The goal of this project is to answer three key questions about NYC public school SAT performance, which are essential for understanding the landscape of educational achievement and opportunity within the city.

seattle_airbnb_data icon seattle_airbnb_data

This project aim to answer what month has the highest availability and which month is the cheapest? what will affect the price of the room?

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    šŸ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. šŸ“ŠšŸ“ˆšŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ā¤ļø Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.