Hi, this is Jeco! I’m a data analyst based in Los Angeles, currently working at SeaOvers, a media tech company focused on OTT/FAST streaming and ad monetization. With a background in economics and accounting, I bring a data-driven approach to analyzing content performance, user engagement, and advertising metrics across streaming platforms.
In my current role, I work closely with cross-functional teams to track ad performance (CPM, fill rate, pacing), build dashboards in Tableau and Looker Studio, and ensure data accuracy across multiple platforms. I’m particularly interested in how data can drive content strategy and monetization in the evolving streaming landscape.
Previously, I worked on projects spanning market analysis (Airbnb, streaming platforms), gaming analytics (Twitch viewership and player engagement), sports performance (NBA, ATP), and financial modeling. These experiences have shaped my analytical mindset and strengthened my ability to turn complex datasets into actionable insights.
| Academic Projects |
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| Title | Description | Technologies |
|---|---|---|
| Streaming-Ecosystem-Analysis | In this project, we focused on a television studio and the decision-making process for producing our next TV show. We conducted a market analysis to understand the content offerings on mainstream platforms like Netflix, Hulu, and Amazon Prime Video, and explored potential market opportunities. Link-to-presentation |   |
| NBA-Power-Partnership-Analysis | In this project, we want to learn and analyze why are certain basketball teams are successful. The 19-20 Lakers champion team with the power partnership duo, LeBron James and Anthony Davis, was used as an example. Link-to-presentation | |
| Options-Pricing-with-ML-models | Our goal in this project was to develop statistical and machine learning models to replicate the functionality of the traditional Black-Scholes option pricing formula, specifically for valuing European call options. Link-to-presentation | |
| My Personal Projects |
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| Title | Description | Technologies |
|---|---|---|
| Causal-Relationship-Analysis-Twitch-viewership-vs-Active-Players | In this project, our group is interested in whether there is causal relationship between a game’s Twitch viewership and its active player engagement. We are using the case of Tom Clancy’s Rainbow Six Siege as a primary example, and extending the analysis to Counter-Strike 2 and Rust. Link-to-presentation |   |
| Music-Trends-Analysis-using-Spotify-Data | This project investigates the dynamics of the global music market, analyzing trends and factors influencing popular songs using Spotify data. Link-to-presentation |  |
