• Work as bracket director at Evo in all years from 2022 to 2024, tasked with building out the event schedule, creating all tournament brackets for official competitions, and leading the bracket operations team on site• Track ongoing registration flow, create plots for stakeholders, and generate estimates for final attendance numbers• Assist in the planning, organization, and on-site operations of various video game competitions by developing and utilizing a suite of Python scripts to automatically create tournament brackets and determine participant schedules• Build an object-oriented Python module to enable the creation of printable PDF brackets for offline events• Develop a script utilizing optimization heuristics to place thousands of competitors in tournament brackets while minimizing schedule conflicts and other constraints• Design greedy algorithms to solve complex scheduling problems• Contribute to the Python pandas library on Github• Consult with development teams of online bracket platforms regarding API tools, UI design, and site functionality• Advise competition organizers on designing optimal schedules, tournament formats, and floor plan layouts• Implement test functions for key package methods with pytest• Led schedule and bracket creation for Evo Japan 2024, working with Sony Music Japan to determine tournament format requirements, draft translated PDF bracket templates, and devise plans for solving technical issues on site• Give presentation to Sony executives & consultants on online tournament platforms and registration systems• Contribute to various projects ran by corporations such as Sony, RTS, Red Bull and Capcom

• Executive staff member of annual offline event for competitive video games, 2nd-largest in North America• Ensure fairness and transparency in all competitions• Train and supervise teams of staff members and volunteers as tournament officials• Construct event work schedules for tournament staff, broadcast staff, and volunteer staff• Build relationships with notable competitors and community leaders to aide with event promotion and outreach• Copy edit event press releases, publications, and graphics• Generate projections of expected attendance based on current and historical frequency of new registrations• Manage the event’s official support email account, responding inquiries from attendees and interested parties• Decide on and enforce competitive rulings, and resolve disputes between competitors• Prepare and refine online registration forms• Track online merchandise purchases and create itemized shipping lists

• Drove a product development roadmap for Challonge integration with Twitch Rivals, including new feature development, data management, and the Twitch Rivals events website• Worked with internal stakeholders and the Challonge development team on prioritizing website features• Created and managed competition information pages for Twitch Rivals broadcasts on the Challonge platform• Wrote detailed guides to onboard program managers and vendors to create new pages for the Twitch Rivals site• Worked with production managers and the Twitch legal department to design an ingest process to record participant agreement to official rulesets• Collected feedback from internal and external stakeholders to deliver to product and community teams• Worked with product managers and vendors to brainstorm event concepts and determine competitive formats• Wrote custom JavaScript automations in Airtable to obtain webpage urls using regular expressions & Fetch API• Acted as product manager in conceptualizing shows to highlight fighting games and community creators• Assisted business development in discussions with video game license holders for broadcast rights• Reviewed and provided feedback on schematics for planned features in Figma

• Redesigned the production pipeline for a multi-touch marketing attribution model to run on a daily cadence• Built a pipeline to upload modeled campaign attribution scores to Google Search Ads 360 platform via API• Designed and built a survival model for predicting the likelihood of an item is returned at any point after purchase• Built and deployed an Airflow DAG of Python and Spark jobs to calculate return probabilities for latest purchases• Redesigned and implemented a Lambda function to handle and re-submit failed jobs to AWS Batch after a delay• Designed and built an internal application with flask and EC2 to assist in planning search term bid strategies• Leveraged Gurobi optimizer in a Python module to solve complex non-linear optimization problems• Modeled relationships between spend on search ads, clicks on search ads, and eventual purchases• Implemented CI/CD pipelines in Gitlab for validating scripts and automating the creation of online documentation• Built ETL jobs to transfer data between various datastores, including S3, Hive, Teradata, Redshift, and GraphQL• Designed and implemented quality checks to identify data issues in production jobs• Developed R scripts to automate production of graphic reports of marketing demand for vendor partners• Developed a custom fork of the fbprophet time series package to fit a regression with time-dependent coefficients• Performed occasional ad-hoc analyses, such as identifying effects of paid app downloads on customer value• Mentored colleagues in use of various tools and techniques, such as git and AWS Batch• Conducted and participated in code review sessions

• Analyze current and historical bank financial data using R and SQL• Identify banking industry trends related to expense cutting and litigation costs• Investigate possible relationships between bank efficiency and likelihood of bad outcomes• Develop neural network- and regression-based models for identifying problem banks• Evaluate and improve existing risk models used by bank examiners• Perform fuzzy string matching on non-standard text data to identify banking institutions• Obtain regulation data through web scraping with Python• Backcheck and update report production processes• Create custom visualizations for reports and briefs using R• Present analytical results at Federal Reserve System meetings• Write and edit briefs related to bank surveillance• Act as quantitative expert for the Surveillance – Financial Trends team

• Worked in the Amaral Lab under the auspices of Prof. Luís Amaral• Constructed a complex network derived from the list of references between films in IMDb• Calculated network properties of film connections to determine an objective estimator of film significance• Identified null models of the film connections network utilizing Markov Chain Monte Carlo simulations• Utilized random forest models to evaluate various metrics for film significance• Performed natural language processing to identify similar sources of connections• Wrote Python scripts to analyze the structure of complex networks• Filtered data from the Internet Movie Database (IMDb) to obtain broad info on films• Utilized bootstrapping methods to fit distribution curves for film metadata• Wrote an automated web scraping script in Python to obtain data from web pages• Authored two published papers on the subject of the IMDb film connections network• Presented research at an international physics conference in June 2015• Examined relationships between research paper titles on citation frequency• Simulated effects of occupational and geographical differences on consensus formation in a large population using agent-based modeling and MapReduce• Wrote blog entries for the lab website on mathematics, probability, scientific analysis, and research methods• Gave monthly presentations on research findings and summaries of scientific journals