Teams:

Current:

• Lead DS for Horizon Mobile Content (3P Meta Horizon Bonus Program content, unmanaged 3P content)

Prior Teams:

• Facebook Video Org (SEO, Logged-out strategy, FB Reels Creator Economy, Notification and Reels Creator Experience)

• Facebook Community Org (Marginal Users and Community Tab)

• Developer Platform - Commerce Initiative Team for Facebook Login

Deep Insights Team -

Products: Your Phone App, Your Phone Companion and Edge Mobile (iOS and Android)

Experimentation:

• Help onboard the Your Phone app and Your Phone Companion app in running experiments

• Lead the experimentation process with PM and engineers to design, run and analyze hypothesis-driven tests

• Check integrity of experimentation platform and results using experiment checklist defined in this paper (check link below)

• Teach engineering and product teams about experiment fundamentals and processes

Deep Insights:

• Tell data stories about our users to our product team to deliver data-driven product recommendations

• Create efficient and resilient data pipelines and workflows to build new metrics for data analyses and experimentation

• Dive deep into complex data sets to deliver analysis using statistical and machine learning to recommend actionable insights

• Define and analyze quality metrics for feature teams to accurately measure customer behavior and experience

Summary: Providing analyses and insight to Local Experts organization who focuses on improving the experience of Expedia travelers by offering activities and ground transportation options.

• Partner with Product and Engineering teams to solve problems and identify trends and opportunities

• Analyze AB and multivariate experiments by highlighting key metrics , identifying correlations, and figuring out cause and effect relationships to improve the shopping experience for customers.

• Prepare, cleanse and verify integrity of data to provide accurate analysis

• Forecast key metrics using R programming to support senior leadership using ARIMA algorithm

• Provide impact analysis for site outages and other events causing booking errors

• Work cross-functionally to define problem statements, collect data, build analytical models and make recommendations.

• Develop and automate reports using Tableau, iteratively build and prototype dashboards to communicate metrics, trends and other key indicators, solving for analytical needs of our stakeholders/partners

• Support various ad hoc projects, as needed, in support of product, supply or retail

• Ensure the ongoing documentation of analysis methodologies and results.

Key Technologies: Qubole, Teradata, Hive, Presto, Omniture (Adobe Analytics), Tableau, R Programming and Excel

Project Manager/Business Analyst: World Wide Incentive Compensation (Sales Operations Department)

Data Analysis:

• Present information on college hires' performances utilizing R Programming to draw in large data set of quota attainment of all sellers and run multiple statistical tests

• Analyze and synthesize data from variety of sources to support in the process of constructing compensation plans to incentivize sellers

• Investigate and audit internal controls and data to provide valid and consistent information across segments worldwide

• Respond to Adhoc requests that cannot be fulfilled through available tools, and manage the Adhoc queue

• Triage, investigate, and prioritize issues in database to provide field analysts and sellers consistent and quality data

Project Management:

• Communicate with key business partners worldwide to resolve issue by providing insights and simplified reports

• Plan, organize and manage a major internal database that impacts 25,000 sellers worldwide

• Partner with stakeholders in finance, analytics, business, engineering and sales to implement data driven compensation plans

• Create documentation for team to help on-board process and training future employees

Quota Escalations:

• Resolve escalated arbitration issues and questions concerning implementation of incentive plan and policies