EVERY BUSINESS THAT WANTS TO BE DATA-DRIVEN, SHOULD BE.
I'D LIKE TO MAKE THAT A REALITY, AS A FRACTIONAL CHIEF DATA OFFICER.
10+ years of experience as Data Science consultant and advisor, helping companies understand how customers are interacting with their product(s), and collaborate on customer understanding initiatives to help grow the business and make their product(s) more user-friendly.
DO I NEED BUSINESS + DATA STRATEGY?
- Start-up advisor + mentor to 10+ founders on development and implementation of data strategies to power data-driven customer understanding from pre-product through release
- Prioritized 40+ initiatives in collaboration with executives of major entertainment studio, based on product payoff, timeline to delivery and data availability
- Panelist: Learn Insider Secrets to Data Collection and How to Use it to Scale at RTB Capital Group (October)
- Blog: Filling-in your Data Strategy Gaps: 10 Reasons Why your Data Initiative will Fail and How to Get it Right the First Time
HOW CAN I LEVERAGE DATA TO UNDERSTAND MY CUSTOMERS AND GROW MY BUSINESS?
- Developed positive and negative KPIs to evaluate network connectivity for online gaming start-up with TB of data (220M+ requests/day)
- Identified areas of missed revenue opportunities that also reduced customer churn for fashion subscription box
- 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
- (other examples)
ENGAGEMENTS (Recent + Upcoming)
- UCLA Lecturer (Jan 2020 - Mar 2020, Wednesdays 6-9PM): Stats 404 - Statistical Computing and Programming
- Panelist: UCLA MSBA Tech Industry Night (Jan 2020)
- Panelist: Society of Women in Statistics: Industry Event (Jan 2020)
- Panelist: Exploring Careers in Data Analytics (Jan 2020)
- Panelist: Exploring Careers in Consulting (Nov 2019)
- 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)
- Speaker: Strategic Plan you Need to get your Data Product into Production: Good, Bad, and Ugly Lessons Learned from the Field (Sept 2019)
- Mentor (Pitch + Data Strategy): Glendale Tech on Tap (Aug 2019)
- Speaker: Writing your First Testing Suite with pytest for your Machine Learning Model (Jul 2019)