about me

I’m currently a Data Scientist (Product Analytics) at Facebook Ads, based in Seattle. My job involves collecting user signals on Facebook family of apps (Facebook, Instagram, WhatsApp, Messenger) and off Facebook, and resolving the true user identities behind these signals. My teams sometimes get featured on the Wall Street Journal. In my day-to-day, I use Presto/Spark extensively, and Python/R for analysis/visualization.

Before Facebook, I worked as a Business Consultant at Applied Predictive Technologies, selling business experimentation/enterprise-level A/B testing solutions. Even before that, I earned a Bachelor of Science and Engineering degree from Princeton University, with a minor in Finance.

You can find my Linkedin page and ways to contact at the bottom of the page.

In my free time, I love reading, hiking, snowboarding, watching/playing rugby, and occasionally maintaining this blog.

my resume

Education

Fall 2019: MS Candidate, Computer Science; University of Washington, Seattle, WA
Professional Master’s Program (PMP) (Upcoming, Part-time)
2017-2019: Graduate Certificate, Mining Massive Data; Stanford University, Palo Alto, CA
GPA: 3.80; GRE: 338/340
Coursework in Machine Learning, Data Mining, Information Retrieval and Web Search, Network Analysis
2012-2016: BSc, Computer Science; Princeton University, Princeton, NJ
Minor: Finance
Honors: Fung Scholar (Fall 2012 - Spring 2016); Sigma Xi Society Nomimation
2007-2011: GCE A-Level, Hwa Chong Institution, Singapore
Awarded merit-based full Singapore Government Scholarship
SAT: 800V 790W 800M

Experience

Apr 2018 - Present

Data Scientist, Analytics, Facebook, Seattle, WA

Forecasting and setting product team goals, defining success, identifying growth levers, to grow new products in Facebook Ads (Events Manager, Signal Ingestion, Facebook Pixel, Facebook iOS/Android SDKs)
Building key datasets, pipelines and dashboards linking Facebook users, signal sources and advertisers together to understand user data coverage, trends, opportunities and risks/threats across data sources, with regression and cohort-based analyses
Conducting adhoc correlational analyses to understand product launch impact, and longer-term causational experiments to understand user behavior change and revenue impact
Automating analyses and authoring big data pipelines via SQL and python based ETL framework and iPython notebook
Identified, built, and analyzed new advertiser signals by building a web crawler targeting Facebook Pixel users, that filled in for third-party data needs after CA \& GDPR and unlocked 7.3x gain in marketing efficiency and more targeted advertiser outreach
Onboarded 600k+ new advertisers in 2018 by building features with product-market fit and ML-enabled growth hacking

Aug 2016 - Mar 2018

Business Consultant, Applied Predictive Technologies, San Francisco, CA

Serving as an analyst on client teams for a national telecommunications company, a national furniture company and a national apparel brand
Managing and owning data processes on various client projects with SQL Server and Data Imports
Working with firm knowledge management team to document the best practices of various types of analyses in mass media studies
Working with sales teams to track new verticals and potential target companies, and share intellegience in bi-weekly meetings with senior executives in the firm

May 2015 - Aug 2015

Business Consultant Intern, Applied Predictive Technologies, Washington D.C.

Served as an analyst on client teams for a regional bank and an apparel retailer
Evaluated and modeled success of new initiatives using financial and store level data
Led presentations on client site and maintained close working relationship with client senior management teams
Worked with firm knowledge management team to improve gravity modeling and its documentation

Jun 2014 – Aug 2014

Software Engineer Summer Intern, Microsoft, Tampere, Finland

Produced weekly analysis reports of MTBF test results using crash dumps and stack traces
Received a Peer-to-Peer Recognition Award for system debugging and emergency test camps
Evaluated MIPI Battery Interface Standards and finalized MIPI specifications for firm-wide adoption
Awarded //oneweek Hackathon 2014 Best Demonstration Prize

Mar 2014 – Aug 2014

Researcher/Analyst, Goodst.org, an online charity startup, New York, NY

Researched, screened and contacted charities as potential partners and donation recipients weekly

Jan 2014 – Jan 2014

Consultant Intern, Jenkins Consulting Group, Tulsa, OK

Consolidated demographic data and projected growth trends for YWCA East Tulsa and Philbrook Museum
Presented findings to the YWCA executives to assess needs, identify challenges and set next-step action plans

Jul 2013 – Aug 2013

Sales Intern, Xinhai Electrics Co.,Ltd, Ningbo, Zhejiang, China

Negotiated and closed one lighter deal worth $120,000 monthly
Followed up on existing clients to clear compliance and safety inspections to ensure timely delivery
Conducted comparables analysis of competitor firms and strategized North American sales plans

about this blog

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