Hi, I'm Christina Zhang

Data cannot speak for itself, that's why I believe in the power of storytelling with data. I am passionate about delivering data insights in the form of compelling stories and visualization to influence a wide range of audience and to help them make informed and actionable decisions. I'm a Solutions Architect at a leading marketing solutions company building multi-touch attribution product for clients in financial services, telecommunication, ecommerce, and streaming services.

I got my bachelor's degree in Media, Culture, and Communication from NYU and my master's degree of Applied Analytics at Columbia University. I am a Lede Program alum of the Journalism School at CU. As a strong believer in the arts and science of data, I created a website of my projects on data storytelling and visualization.

Resume

WHO AM I

Global Citizen

Born and raised in Shanghai, China, I went to US for college five years ago. I'm fluent in Mandarin, and I'm a beginner in Japanese and French.

Music Lover and Band Vocalist

I can hardly imagine a day without music. Jazz, blues, souls,and pops, I enjoy being a taste breaker. I used to be the vocalist of a band called Empty Alley during college: one of my best NYU memories. Check out our YouTube channel for more live performance clips.

Enthusiastic Programmer

I took an Introduction to Python class during my last year at NYU, and this class opened my eyes to an entirely new world of programming. I'm fluent in Python, R, and SQL(PostgreSQL and MySQL). I'm currently furthur studying machine learning and web design on my own.

Foodie and Beginner Chef

Thanks to NYC, I got to visit restaurants with authetic dishes from all over the world. My favourite dishes are Shanghai crab meat soup dumpling, Korean doenjang jjigae, and Tortilla Espanola. Stay tuned for my cooking blog coming this fall!

Data Journalism

Am I the Only One Who Confused Charlie Puth and Shawn Mendes?

I took a look at lyrics, audio attributes, and sensation of the songs of the two pop rising stars to prove the similarity between the two. Are they really that similar? Oh yea.

Facebook: Move Fast and Patent Things

A sneak peak into Facebook's shifting business interest in the past decade.

The Ups and Downs of US National Parks

Are US national parks still popular among tourists? How are the top national parks change over time? Is there a correlation between gas price and number of visits?

100 Greatest Movies in 21st Century: An Interactive Movie Map

In 2018, BBC polled 177 critics over the world to figure out the top 100 movies of 21st Century. As a movie lover, I created an interactive map that enables audience to learn more about where the top movies are from.

QGIS 101: China's Belt And Road Initiative

The Belt and Road Initiative is a global development strategy adopted by the Chinese government involving infrastructure development and investments in Asia, Europe, Africa, the Middle East, and the Americas. With the help of QGIS, I mapped out China's Belt and Road initiative route from scratch to showcase the 21st century silk road.

Machine Learning Projects

Python: Predicting Amazon Prime Video Popularity Score

In this project, I built different prediction models to predict cumulative view time per day (popularity metric) based on 4000+ data points with 16 features, such as genre, imdb votes, and box office.

R: Predicting NYC Airbnb Housing Price

In this coursework, I developed predictive model based on a listing of 25,000 NYC Airbnb rentals with over 90 property features to predict rental price

Spark: San Francisco Crime Data Analysis and Modeling

The motivation and goal for this project is to help SFPD better plan their police force coverage over all the districts over the day, and also help tourists identify dangerous districts and hours to visit in SF.

During this coursework project, I conducted online analytical processing on 15-year SF crime data on Databricks using Spark SQL and Dataframes API to gain insights into crime trends from 2003 to 2018 and provide some police power, policy adjustment, and tourism advices.

Strategic Analytics and Research Design

Utilizing user data, competitor analysis, and A/B testing to expand Amazon Spark users

Amazon launched Amazon Spark in 2017, aiming to build Amazon’s own social ecommerce platform where Prime members can have a one-stop experience of discovering, sharing, and purchasing Amazon products through shoppable feeds, without leaving Amazon’s mobile application. However, Spark is not well accepted by the public.

Imagine I am a member of Amazon Spark analytics team, in this semester-long project, I aimed to persuade audience about the importance of analytics to improve performance of Amazon Spark, I've developed a series of written, verbal, and visual deliverables in multiple modalities for various audiences, including data experts, consumer experts (marketing team), and executive leadership.

Pillpack

Research Design