Nov 2024 – Present · 1 yr 5 mos

• Diving into the world of Data and AI with industry veterans. We bring the latest insights, trends, and know-how's to help all data professionals succeed in the field. This show is hosted by Hai, Sravya, and Shane. Please reach out if you'd like to be on the show!

May 2024 – May 2025 · 1 yr

• Extensive travel around Southeast Asia and Eastern Europe. Real estate investing. Launched and cohosting the Data Neighbor Podcast.

Nov 2020 – Apr 2024 · 3 yrs 5 mos · San Francisco Bay Area

• Led a team of data scientists and DS managers supporting all of Nextdoor's consumer experience encompassing Growth, Engagement, Trust and Safety, Content Moderation, Experimentation.
• Left for sabbatical #2 to explore the world and pursue personal passion projects.

Sep 2019 – Present · 6 yrs 7 mos

• Real Estate Investor: Investing in long term rental, short term rental, multifamily syndication, ADU, and BRRRR
• Angel Investor: Investing in various startup/small businesses

Apr 2017 – Mar 2020 · 2 yrs 11 mos · Sunnyvale, CA

• I had the privilege of leading a talented team of 15+ data scientists and managers tackling analytical problems in the Jobs Marketplace (both jobs and job seekers).
• We helped job seekers get their next opportunity and employers hire the best talent on LinkedIn. We did this by leveraging the power of data to inform product and marketing decisions. Through insights, end-to-end analytics, and analytical solutions, we guided development of product features and successful launches of marketing campaigns. Below are some facets of Data Science my team worked on:
• Experimentation, A/B testing (from experiment design to implementation to interpretation)
• Deep-dive analyses, data driven insights and recommendations
• Dashboards, reporting
• Metrics development, data pipeline development
• Statistical modeling, causal inference, machine learning
• Marketing campaign tracking, ROI, incrementality measurement
• Domain expertise in: Growth, Retention, Two-Sided Marketplace, SEO, Paid Marketing, Member Engagement, Hiring Marketplace, Product Analytics, Monetization, Competitive Analysis
• With a team of highly passionate Analytics colleagues, we built LinkedIn Analytics University from scratch - a recurring 1.5-day immersive program that inspires professionals from LinkedIn on power and application of Analytics, regardless of their background. I had the privilege of working with a group of highly respected domain experts covering all aspects of Analytics to enable a more data-driven culture.
• Left for sabbatical #1 to learn how to invest in real estate.

Sep 2015 – Mar 2017 · 1 yr 6 mos · Sunnyvale, CA

• Grew a team of data scientists for LinkedIn's Careers product. We partnered closely with Product, Eng, Marketing, and many other cross-functional teams to build great user experience for job seekers. We influenced product strategy and made impactful recommendations through deep-dive analysis, experimentation, metrics development, and much more. Expanded the team to include LinkedIn's Jobs product domain and formed a Jobs Marketplace Data Science team (see above for specifics).

Apr 2014 – Sep 2015 · 1 yr 5 mos · San Francisco Bay Area

• Built the Growth Analytics team from scratch and guided the company during a period of explosive user growth. Created and championed a robust data-driven culture around rigorous experimentation and actionable insights. Scope spanned across product and marketing (includes brand and paid media) analytics. Strong domain expertise in SEO analytics, experimentation for authenticated and unauthenticated users, growth accounting, retention, user acquisition and signup conversion, forecasting, etc.

Oct 2012 – Mar 2014 · 1 yr 5 mos · Menlo Park, CA

• Served as the go-to person for anything revenue analytics related for Facebook’s ads business; areas of expertise include advertiser intent, ads product revenue trends, advertiser demand, and ad supply.
• Designed and implemented the first algorithm to categorize advertiser intent/objective. This effort produced deep insights into why advertisers spend on FB and led to recommendations that turned into new initiatives across the company.
• Managed a team of three.

May 2010 – Sep 2012 · 2 yrs 4 mos · San Francisco, CA

• End-to-end Product Analytics (from user growth to engagement, retention, monetization, and everything in between)

Sep 2009 – May 2010 · 8 mos

• Portfolio Risk Management

Feb 2009 – Sep 2009 · 7 mos

• Web and Email Analytics

Jan 2008 – Jan 2009 · 1 yr

• Marketing Analytics