Strategy & Operations Lead at ATOMS AI (2024-06 – Present)
restaurant SaaS company founded by Travis Kalanick
- Owned pricing strategy and experimentation, launching software, hardware, and payments bundles that lifted revenue per customer 16% and shortened sales cycles 12%
- Designed the sales deal desk from scratch, building pricing guardrails, approval logic, and revenue models embedded in Salesforce, governing $8M in ARR
- Drove GTM for a Venmo marketplace partnership, building a geo-based lead scoring app that routed 2,000+ leads to field sales and generated $1.8M in MRR
- Built AI agents that complete and verify merchant onboarding end to end, replacing the offshore onboarding team at equal accuracy, cutting onboarding time 26% and saving $500K+ in cost
- Built quarterly revenue forecasts for planning and board meetings, linking acquisition, activation, and retention to growth scenarios that guided investment decisions for a $100M+ ARR business
- Conducted M&A evaluation of 3 enterprise acquisition targets, building P&L and synergy models that informed target prioritization and competitive strategy
Strategy Associate at ATOMS AI (2023-09 – 2024-06)
restaurant SaaS company founded by Travis Kalanick
Data Scientist, Consumer Insights at SYNTHESIS PARTNERS (2022-01 – 2023-09)
Strategy agency for media giants like Netflix and YouTube
- Advised Estée Lauder on APAC fragrance M&A strategy, using Naver consumer sentiment and category analysis to prioritize acquisition targets and positioning
- Briefed Netflix leadership on global streaming trends, content performance, and fan sentiment across 1,000+ titles, informing campaign strategy and programming investments
- Designed audience segmentation frameworks from Twitter follower graph data, increasing engagement 15% across major Netflix releases
- Identified high-growth gaming creators in India for YouTube Shorts through engagement and retention analysis, sourcing partnerships for South Asia expansion
Data Scientist at AT&T (2021-03 – 2022-01)
American telecom giant powering cellular data at scale
- Deployed a live analytics dashboard to monitor Databricks VM usage, identifying cost-saving opportunities and reducing data infrastructure spend by $12.6M annually
- Migrated a 1B+ row GIS analytics pipeline from on-premise servers to Databricks cloud, reducing processing time by 22%
