Hi, this is Suzy!

I'm an aspring Data and Product analyst with previous experience in the Supply Chain, Media and Technology industries! I have a passion for innovative products and technology, and I enjoy analyzing data to come up with meaningful insights and solve complex business problems!

I graduated from Columbia University with a focus on Data Science and Analytics. During the past few years, I have studied and worked in both Asia and the U.S. Coming from a diverse background, I believe that I can bring new perspectives to a team!

I completed my B.S. degree in Management Science from UC San Diego. Before pursuing a master degree, I have worked in Product Management for approximately a year. I also had several internships working on customer and marketing analytics, where I partnered with the product, marketing and engineering team on A/B testings and making recommendations on product decisions.

Languages: Python, R, SQL

Specializations: Predictive Analytics, User Experience, Marketing Analytics, NLP, Model Evaluation

Hobbies: Hiking, Hot Yoga, Barre, Movie

In my portfolio below, I'd like to share some of my projects I completed so far that I found interesting. Hope you enjoy reading it!

Projects

Airbnb Rental Price Prediction
Identifing the influential factors of the rental market and predict Airbnb rental price in NYC.

[Language: R]

Database Design and Data Visualization
Implementing database management system for a peer-to-peer lending platform to improve decision-making.

[Language: PostgreSQL, R]

Music Recommendation and Churn Prediction
Predicting the changes in recurring listening events for Asia’s leading music streaming service.

[Language: Python]

Web Application for U.S. Alternative Fuel Station
Helping eco-friendly drivers find nearby alternative fuel stations and calculate the estimated price.

[Language: R, Shiny]

FIFA Players Clustering Analysis
Identifying best players for the right positions and help club manager build the dream team.

[Language: R]

NLP and Topic Modeling for Song Lyrics
Let's take a look at the secret of songs, and find out the patterns of different types of song lyrics!

[Language: Python]

Recommender System for Movie with Collaborative Filtering
Applying alternating least square for matrix factorization and KNN, kernel ridge regression to predict movie ratings.

[Language: Python]

Emotion Detection with Deep Learning
Creating a classification engine for facial emotion recognition. Applied multiple models to imporve accuracy of emotion detection.

[Language: Python]

Let's Connect

Suzy Gao