My
Resume

My skills and experience across data analytics and finance.

Connect with me on LinkedIn.
Dig into my project code on GitHub.

Justin Koh

Work Experience

Disney Streaming Services | Data Analyst II
Los Angeles, CA | Jul 2021 – Jun 2023
  • Led the ETL of dashboards monitoring email, push notification, and in-app performance, using Databricks, Snowflake, and Looker
  • Performed ad-hoc queries to assess performance of marketing messages for various products
  • Converted the ESPN+ monthly business review from an unorganized document into a Looker dashboard, giving stakeholders added understanding of content performance
Pex | Data Analyst II
Los Angeles, CA | Oct 2019 – May 2021
  • Generated content performance insights using complex SQL queries (PostgreSQL, BigQuery) and Python to support business development and marketing initiatives
  • Created and presented a detailed analysis of Facebook video performance for a major music rightsholder client, resulting in retention of the client
Everytable | Director of Analytics
Los Angeles, CA | Mar 2017 – Jun 2018
  • Led all processes related to meal volume production, catering orders, and KPIs
  • Reduced meal waste by 5 times its original level, resulting in 400 bps in EBITDA savings
Hulu | Senior Analyst, Content Valuation
Santa Monica, CA | Nov 2015 – Feb 2017
  • Managed Hulu Originals and Anime, inclusive of modeling, valuation, long-range planning, and financial trade-offs analyses
  • Selected Deal Experience: Blindspot, Lucifer, Warner Bros. library titles, Scream Queens, and My Hero Academia
Skyview Capital | Private Equity Associate
Los Angeles, CA | Oct 2014 – Oct 2015
  • Supported all aspects of deal processes – qualification, due diligence, presentations, financial modeling, and deal negotiations
  • Selected Deal Experience: Buyout of Syncplicity from EMC Corporation
Vantage Oncology | Finance Associate
Manhattan Beach, CA | Oct 2012 – Jul 2013
  • Financial modeling for budgeting, forecasting, month-end close
  • Selected Deal Experience: $250 million bond raise (9.5%, senior secured, due 2017)
Barclays | Investment Banking Analyst
Menlo Park, CA | Jun 2010 – Sept 2012
  • Financial modeling, valuation, due diligence, and presentations to support deal execution
  • Selected Deal Experience: Jazz Pharmaceuticals’ $700 million acquisition of EUSA Pharma

Independent Projects

NFL Wide Receivers by Playing Style | github.com/jeesuk/nfl_wr_classifier (work in progress)
  • K-Nearest Neighbors classifier in Python that categorizes NFL wide receivers by playing style.
  • Uses Sportradar play-by-play data API, along with data from Pro Football Focus Premium, and the NFL Combine.
Predicting Arrests by the NYPD | github.com/jeesuk/NYPD-arrests
  • Using 2018 data provided by the NYPD, I predicted whether being stopped by an NYPD officer would result in an arrest with logistic regression, random forest, and decision tree models.
  • Utilized Pandas and NumPy to clean and engineer new features; manually categorized 11,000 different values for ‘suspect demeanor’ and ‘suspect appearance’ features.
Politics-Adjacent Guests on the Late Show | github.com/jeesuk/late-show-colbert
  • An exploratory data analysis of the views for YouTube uploads of Colbert’s interviews as host of the Late Show, specifically highlighting the view counts of interviews with politicians, journalists, and others involved with politics.