ARE YOU STRUGGLING WITH PRODUCT/MARKET FIT?
You've spent time and money to develop your product and market it -- to get prospects to your door. Do you know who's going inside and what your customers are doing once they get there?
I help start-ups improve their product/market fit by leveraging data to help you understand your customers to make your product sticky. Whether you’re drowning in data or have no data yet, we'll learn about your customers and grow the profitable customer base, prioritize product features to improve the product, and scale the business.
HOW TO GET STARTED WITH PRODUCT/MARKET FIT? PRODUCT SCOPE + DATA STRATEGY
Reduced product risk and increased revenue streams for therapeutic device start-up by advising founders to scope down offering from smart apparel to HaaS
Start-up advisor + mentor to 10+ founders on development and implementation of data strategies to evaluate and improve product/market fit based on data-driven customer and product understanding, from idea to MVP
Prioritized 40+ initiatives in collaboration with executives of major entertainment studio, based on product payoff, timeline to delivery and data availability
HOW CAN I UNDERSTAND MY CUSTOMERS AND PRODUCT TO GROW MY BUSINESS? METRICS + ANALYTICS
Developed positive and negative KPIs to evaluate quality of network connectivity for online gaming start-up with terabytes of data (220M+ requests/day)
Identified areas of missed revenue opportunities that also reduced customer churn for fashion subscription box from 10K+ customer reviews
Built end-to-end near-real time recommendation engine for a social media start-up to improve engagement of social media posts via ExtraTrees, and productionalized as an API via AWS SageMaker, Python and Docker
ENGAGEMENTS (Recent + Upcoming)
Mentor: Alley Accelerator (May 2020 -- Aug 2020)
UCLA Lecturer (Jan 2020 - Mar 2020, Wednesdays 6-9PM): Stats 404 - Statistical Computing and Programming
Panelist: Learn Insider Secrets to Data Collection and How to Use it to Scale (Oct 2019)
Speaker: Data Projects vs Products: Top 5 Reasons Why your Data Science Project Didn't Make it and How to Get It Right the First Time (Oct 2019, Sept 2019)