Pan Jiang Email & Phone Number

Palo Alto, Ca, Us

Palo Alto, Ca, Us

Mountain View, Ca, Us

Leading a global team of talents using data to shape Operation, Compliance and Product development of YouTube.

Menlo Park, Ca, Us

Built and led a team of DS, DE, and TPM. Guided team strategies through incident analytics, and true north metrics design with the goal of protecting over 3B users' data and privacy rights across the Meta suite of applications including Facebook App, Instagram, WhatsApp, etc. Earlier domains at Meta included Ads identity, Ads Manager, Identity matching, people-based advertising, cross-device, ads quality scoring, ads products iteration through A/B testing, quasi experimentation Example projects: * designed and built a privacy incident management metric system, including both team North Star metrics and sub-team level operational metrics* applied NLP ML to build privacy risk prioritization model to cut incident review workload by 35%. * drive adoption of metrics and derived insight with all product pillars (Facebook, Instagram, WhatsApp, Monetization, Reality Labs etc.) across Meta* Led a team to drive product quality initiatives, and guide product decisions and engineering efforts with analytical insights for Facebook Ads Identity team; Ads Manager team.

San Mateo, California, Us

- Built dynamic LTV model with modified RFM approach and payer conversion prediction, general propensity score study.- Analyzed user behavioral data and game economies across 30+ games to provide insights and direction for maximum revenue and user retention.- Collaborated with Product and Game Design team on new title release from analytics perspective.

Sunnyvale, Ca, Us

Responsible for leading monetization efforts by data driven custom forecasting; dynamic pricing and partnering closely with Product, Sales and Finance organization.- Monetization strategy- Price levels optimization(reserve floor price for RTB and premium ratecard pricing)- Revenue modeling for product/site re-design

San Francisco, Ca, Us

Grow company's top-line through ads pricing strategy, inventory forecasting, deals bundling with product marketing managers and sales representatives.Pricing strategy; Price models and bundling; incentives and discount systems; Price negotiation and key account pricing; Price monitoring and controlling; Sale compensation; MBO

Los Angeles, Ca, Us

Experiment design and energy modelingPartial differential equations derivationWater treatment standard compilation Teaching assistant promoted to teaching fellow

Summer Intern in 2009Managed credit risk through mathematical modeling, grew online personal loan business.

Phd, Civil Engineering

Master Of Science (Ms), Statistics

Bachelor Of Engineering (B.Eng.), Environmental/Environmental Health Engineering

Education record