I am currently a data analyst working for Meta for almost 2 years and have been in the industry for around 5 years.

I had extensive collaboration experience with internal stakeholders, including project managers and engineering teams. In my role at Meta, I specialize in building SQL queries, integrating data, and presenting crucial metrics to enhance the efficiency of detecting and recovering fraud/abuse accounts. Furthermore, through successful partnerships with Data Scientists and Software Development Engineers, I have played a key role in enhancing and innovating investigation processes and efficiently managing labor capacity throughout each investigation. Additionally, my routine execution of root cause analysis reports aids stakeholders in prioritizing business needs.

New York University

Miami University

*   Build and maintain 15+ data pipelines that empowering 5 integrated dashboards to provide insights on leakage time and volume, drive business decisions on liability allocation which led to a 40% reduction of the average task picking time and weekly 1M leakage amount (vs. pre-launch by 10%).
*   Lead weekly business reviews to diagnose bad actor behaviors and business gaps, provide both product and engineering teams with key metrics to raise the detection accuracy of abusive and compromised accounts.
*   Derive monthly fraud reports based on the different types of advertisement targets, support software engineers and research scientists to establish auto-detect rules in business’s ad accounts, and achieve the result of reducing the amount of fraud ads by 20%.
*   Produce comprehensive root cause analysis reports to prevented around 50M leakage and reduced 250 compromised users by detecting product vulnerability through the strong signal of fraudulent behaviors in user account.
*   Own and revamp the process of the Single Review Tool which conducts the expedited second checking to detect the uncleaned cases, offer faster and high-quality recovery process to our customer and saving $8M (YoY 40% of business recovery and refund).
*   Mentor 7+ new hiring employees onboarding process, and create the SOP to shorten new team members onboarding period by 2 days (by 30%), enhance their handling efficiency by 50%, and advance the task decision correct rate from 80% to 95%.

Data Analyst

*   Identified key performance metrics of 10+ client requirements, and constructed 20+ ETL pipelines to integrate data from Oracle Database.
*   Assembled 5 detailed interactive dashboards containing 6 to 8 index analysis graphics by using InetSoft’s visualization tools, to extend the clients’ ability to understand the analysis and the function of the company tools.
*   Boosted the click-through rate of the company's official website by 6.5% through presenting innovative dashboard, and attracted 5% more business contract partners.

Laurinda Luo

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