• Rebuilt orchestration of core data pipelines by moving to a new workflow tool (Dagster), and improving the robustness and observability of our transformation tool (dbt). Introduced test environments and rigorous CI practices, increasing development velocity while reducing risk to production runs.• Improved coverage of user location data from 67% to 98% by integrating multiple data sets using Spark.• Designed new geographical segmentation by clustering users through purchasing behavior, transforming the way SeatGeek segments users into locations and increasing order values from email marketing.• Built model to forecast revenue for sports and concerts by simulating game outcomes and projecting event value.

• Grew paid subscriptions to news publishers by 17% in Instant Articles by diagnosing funnel weaknesses.• Designed experiment structure for an A/B content testing tool for publishers.• Identified opportunities within Instant Articles to improve product performance.

• Created MM's first analytics-usable data warehouse by aggregating data from MySQL into Google BigQuery.• Wrote a custom Monte Carlo simulation in Python to forecast new customers' long term value, which became part of the company's core metrics.• Increased average order value by 40% through machine learning to recommend clothing to customers. Exposed these recommendations to customer service representatives with a custom web app.

• Managed a team of three data scientists focused on content creation analytics and strategy.• Reorganized interview and hiring process, creating a well-defined, staged candidate pipeline.• Strengthened impact of partners’ (Facebook, Pinterest) analytics by optimizing content strategy, tightening technical integrations, and defining a framework for evaluating resource investment by platform and by property.

working at the intersection of data, editorial, and product

• Enabled BF’s shift to a multi-platform strategy as engineering lead on analytics team: built data infrastructure to ingest metrics from 8 social platforms’ APIs (e.g. Facebook, Instagram, Tumblr), designed stats aggregation framework, and prototyped user-facing dashboard and automated reporting.• Product managed an internal discovery tool for editors that surfaces BF content. Wrote an algorithm that identified optimal articles for promotion.• Conducted growth experiments to understand social platforms. Created a new editorial format based on identifying an opportunity in the data.

• Designed and built dashboards and data pipeline to identify trends in Facebook and Twitter engagement. Ingested data from Facebook and Twitter APIs, implemented ETL into MySQL and MongoDB, built dashboard frontend, and automated reporting for editorial teams.• Lead BuzzFeed’s adoption of Google BigQuery, Facebook Insights, and Twitter Analytics. Invited to participate in early betas for trusted feedback on features and product strategy.• Analyze traffic data to identify strategic growth opportunities. Investigate user behavior on over 200M monthly UVs, including how users share our articles, how users take and share quizzes, and how users create accounts.

• Analyzed the effect of product features on user contributions. Investigated the impact of feedback mechanisms, social engagement, and signup flows on review writing.• Conceived and monitored metrics for new features, e.g. launch of review writing on mobile platforms.• Designed visualizations to assist product managers in understanding feature usage correlations.• Isolated seasonal variation in site traffic to better forecast future visits. Helped distinguish unusual from expected traffic numbers based on these seasonal patterns.• Led data outreach efforts: built public data projects, including the Yelp Wordmap, and collaborated with PR on data for company blog posts. Liaised with academia on requests for data.

• Designed models for predicting probable outcomes of in-game baseball strategies using R.• Extracted and analyzed data from an extensive baseball game events database using SQL and data mining techniques.• Automated data collection and aggregation with Python.• Reported analytics and conclusions to team management and coaching staff.

• Assessed strategy and players using statistical techniques.• Designed statistical models for predicting the odds of success for in-game strategies.• Assisted with pre-series opponent preparation; automated collection of video for coaches and scouts.

• Resolved mathematical and technical issues on proprietary software platform for clients at major financial firms.• Wrote and maintained technical documentation.• Built software quality assurance monitoring system.

• Adapted mathematical techniques to the study of linguistics.• Implemented computational simulation to evaluate theoretical approaches to modeling natural language syntax.