Jiahao Huang

I’m a product manager and UCLA alumnus hailing from the Bay Area town of Alameda, CA. Feel free to check out my personal projects, work experience, or learn more about me!

Education

2018-2022
B.S., Mathematics and Computer Science; B.A., Business Economics; Minor in Statistics; University of California, Los Angeles

GPA: 3.7

Relevant Coursework:

  • Machine Learning/AI
  • Algorithms
  • Web Programming
  • Strategy
  • Finance
  • Data Analysis/Experimentation/Mining

Awards

  • William F. Sharpe Fellow (Top 2% of Business Students)
  • College Honors
  • Dean’s List
  • National Merit Scholar

Experience

Product Manager, Kiteworks

  • Spearheaded the development and launch of a federated admin interface for a $403K ARR customer in the marketing communications space, ensuring that the deployment maintained high reliability for over 200 clusters

  • Designed data access and auditing features to enforce GDPR compliance across data systems based in the EU

  • Built internal telemetry feature that tags customers who are reusing licenses across deployments, helping capture $210K+ of lost revenue per year and reducing time spent on delinquent customers by 40%

  • Led development of form field validation feature for government customer, securing $141K ARR in new business

Product Manager, Microsoft Teams Experimentation

  • Released Copilot AI feature in Teams, identifying top product features for revenue impact to gain 24% increase in the proportion of users using Copilot chatbot for meeting summarization in A/B test conducted on over 20,000 users

  • Led cross-functional team of 6 and developed PRDs to build PowerBI dashboard roadmapping over 3,000 A/B tests

  • Analyzed competing experimentation methods to reduce A/B test redundancies and trained 30 staff members by conducting monthly brownbag sessions, reducing time from feature idea to experiment data from 4 to 2 weeks

  • Tracked monthly KPIs and automated calculation with Python and Azure DevOps, improving runtime by 93%

Product Manager, Visa

  • Created go-to-market entry strategy for expansion of Visa QR payment solution program to countries in Latin America through analysis of 200+ Visa token authorizations and provisions, onboarding over 25 fintech partners

  • Conducted over 125 customer interviews with Visa Ready clients, a certification process for fintech companies developing payment solutions and created individual security standards for over 500 businesses in 20 countries

  • Proposed financially viable, eco-conscious credit/debit card benefit program through analysis of carbon accounting

Actuary, Pacific Life Insurance Company

  • Developed an Alteryx workflow to automate cleaning and analysis of 50+ years of financial projection data for interactive visualization in Tableau to be utilized by internal c-suite clientele, expediting process runtime by 70%

  • Automated data retrieval process of 300+ datasets using Microsoft VBA macros for financial data analysis purposes

Research Assistant Lead, Harvard Business School

  • Scraped and trained a dataset of 250,000+ images using Yelp API for an OpenCV model to classify manicures in review photos with 95% accuracy under Professor Hyunjin Kim; credited in Management Science article cited by 12

  • Led research for team of 10+ and conducted 100+ user interviews to gather data regarding firms and their knowledge of competitor pricing’s effect on decisions; created regression model confirming hypothesis (p=0.023)

Leadership Experience

Project Manager, UConsulting at UCLA

  • Led team of five analysts in developing go-to-market strategy for client with $1MM in revenues by conducting user research and creating two-year financial projection; analyzed 5 competitors’ strategies to ideate business model

  • Conducted data science education efforts for club with 40 members in Excel, Tableau, and R programming

  • Visualized 30 Instagram creator’s KPIs in Tableau for client to track and increase user engagement by 5% YOY

President, Data Science Union

  • Created mentor scoring algorithm to expedite mentor-mentee matching process by one hour for local non-profit client to increase volunteer lifetime value by evaluating demographic features and client matching process

  • Led four students in creating neural network for healthcare underwriting startup with $6MM in revenues

  • Onboarded 6 clients in one year with average revenues of $3MM to conduct client data science projects

Languages

Java • C++ • R • Python • SQL (MySQL, PostgreSQL) • HTML/CSS Javascript

Frameworks

Flask • Bootstrap • Django • React

Developer Tools

Git • Github Actions • Visual Studio Code • Docker • AWS • GCP Azure • Heroku • Jira • Tableau • Figma

Libraries

pandas • NumPy • Matplotlib • PyQt • seaborn • Plotly • SQlite scikit-learn • Scrapy • Tensorflow • Selenium • NTLK