Data Visualization
Making the Complex Intuitive
Published Works
I have spent the last several years creating charts focused on the financial markets. For me, the ultimate goal of data visualization is to make information as simple and intuitive as possible—so that anyone can understand the story just by looking at it.
The examples below may look simple, but the process to create them was not. There is a lot of work "behind the scenes" to ensure the right chart type is used for each specific dataset.
Data Visualization Projects
To go a step further in my data journey, I enrolled in the Lede Program for Data Journalism at the Columbia School of Journalism in 2021. The following two projects are unpublished personal explorations from my time there.
U.S. Stock Market Volatility in 2020-2021
2020 and 2021 were two of the most volatile years in U.S. financial market history. I wanted to create a snapshot of the market so that people could see at a glance how the market acted. I chose a heatmap as the format and displayed every single trading day in 2020 and 2021. The slight surprise was that 2021 showed more ups and downs than 2020, even though 2020 was when the pandemic started.
Hate Crimes of New York City
My Role: Project Owner, Data Analyst, Coder, and Designer.
This story stems from a few personal incidents I experienced after returning to New York City in 2021. After being abroad for almost 4 years, the city felt different—less safe and more hostile. I began to wonder: Had the city fundamentally changed while I was away, or was I just seeing it clearly for the first time? To find the answer, I turned to the NYPD’s hate crime dataset.
The Initial Study: My first analysis focused on the period between 2019 and 2021.
The 2026 Update: I revisited the NYC Open Data portal this year to download the latest records. This updated analysis now spans 2019 through 2025, capturing the most recent trends in reported hate crimes.
Targeted Demographics: While Jewish New Yorkers accounted for the largest total portion of hate crime victims, the data revealed that physical attacks most frequently targeted Asians and gay males.
Crime Type Variation: I discovered a distinct split in how hate crimes manifest: most incidents involving Jewish victims were property-related, whereas crimes against Asians and gay males were more likely to be physical attacks.
Recent Trends: The data shows a drastic increase in hate crimes since 2021, including reported murders of Asians and gay males motivated by hate.