Optimise merchandising of physical goods and devices on Microsoft's Windows 10 and Xbox stores.- Prioritized and executed A/B and multivariate testing on Windows 10 Store Homepage. Experiments covered ML and recommender powered channels, creative elements and copy, page layout, and page navigation. - Acted as lead merchandiser for physical goods on Windows 10 and Xbox stores across 20 markets.- Grew category page revenue from 1.2x prelaunch daily revenue to 2.54x through segment targeting, recommender systems, Bayesian bandits, and marketing research.- Consolidated global physical goods collections across 20 markets into universal parent concept collections, reducing complexity and cost of maintenance. - Made all merchandising and reporting decisions in development and deployment of physical good category pages to Windows 10 and Xbox storefronts. - Prepared weekly and monthly reports of category performance for GM and CVP level business reviews.- Performed in-depth comparative analysis of changing product mix from category launch by storefront in Pandas, to optimize and differentiate merchandising plan from other storefronts.- Acted as an expert on publishing tooling and data/reporting tooling to external teams.

- Deployed data science application that predicts fraudulent claims; built an end-to-end data science pipeline that involved training a model on existing labeled data, building a web application that makes API calls to the data provider and displays, in real time, the probability that an incoming claim is fraudulent. - Predicted rider retention using data sourced from a ride-sharing company based in San Francisco, using the gradient boosting classifier; relied heavily on feature engineering to address leakage. - Built machine learning algorithms in Python every day for three months, thereby learning the mechanics and intuition underlying algorithms such as Boosting, Random Forest, and SVM.- Developed scalable solutions to consume data sets of varying size through distributed computing technologies, such as AWS, Spark, MapReduce.

• Developed and implemented predictive analytics for pricing and promotion strategy that lead to successful promotional campaigns and a 28% margin increase on non-promotional sales.

- Conducted time series analysis and forecast of user data in R. This analysis was presented to GMs and influenced my team’s decision to forgo an unnecessary campaign.- Completed AAA Title lifecycle analysis in Jupyter Notebook. This analysis provided data to optimize how and when titles are featured in Spotlight and merchandized across the app store.- Completed search campaign analysis in Jupyter with the intention of optimizing search campaign duration.- Identified essential apps to be featured in new user campaign. This analysis identified the under merchandized driver segment of offerings on the app store.- My comparative analysis of Today’s Deals collection against the performance of other curated collections and recommend collections proved that the collection’s poor performance was not random, and prompted the removal/replacement of the collection. Built several Power BI dashboards on top of SDX and Cosmos data to support stakeholders in Win 10 and Xbox stores.- Write Scope queries and submit Cosmos jobs in support of various stakeholders.- Regularly contribute to meetings as an expert on engagement data and the page impression stream.

- Wrote effective SQL queries that calculated the impact of validation issues, which resulted in a clawback of more than $30,000 and allowed for the resumption of payments.- Executed data and calculation validations to ensure the timeliness and accuracy of incentive payments worth $150 million annually to over 50,000 partners.- Streamlined system transitions that are still in use; led planning, requirement gathering, and execution.- Served as a liaison and ensured one final product between operations, IT, and engineering teams.

• Principle administrative and clerical support to company president • Manage complex calendars over multiple time zones including group logistics such as meetings, conference calls, and events • International travel booking and coordination• Exercise good judgment in handling administrative details and sensitive information • Establish and develop sustainable client networks

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