Shannen Tan
Enterprise Commercial Associate - US @ Wordsmith AI
About
Data scientist supporting growth at Wordsmith AI. Happy to chat about legal ops, AI, or startups!
United States
New York
Law Practice
Sales, Legal Technology, Journalism, Presentation Skills, Organizational Development, Software Development, Python (Programming Language), Web Applications, Biodiversity Conservation, Media Management, Event Management, Managing Meetings, News Writing, Artificial Intelligence (AI), Data Science, Business Analytics, Administrative Assistance, Discord, Project Management, Program Management
Experience

AI & Product Analyst Intern
- Contributed to product and operational growth at a16z-backed AI startup ($4.45M raised), supporting key initiatives across data, engineering, and project management - Cut project backlog by 50% and boosted task completion rates from 44% to 61% through task prioritisation and developer engagement within the Agile project management framework (Scrum), improving operational efficiency - Analysed in-game flagging data and uncovered previously unnoticed trends. Identified a spike in negatively flagged messages post-update, later reduced by a subsequent update, which informed strategies to improve user experience - Improved data accuracy by cleaning 5% of erroneous entries from over 20,000 rows and implementing a robust data management framework, strengthening overall data reliability - Worked closely with the AI team to identify inefficiencies in AI workflows; drove collaboration across roles to automate pipelines, boosting team productivity by 80%

Editor in Chief
- Revived a journalism organisation by focusing on productivity, enjoyment, and community-building events - Spearheaded recruitment campaign management, advertising to double membership - Fostered cross-organisation collaborations and led a 22-member editorial team, encouraging content ideation sessions and peer review practices that raised average post reach 10x

Credit Analyst Intern
- Consulted with credit risk stakeholders to understand pain points; led the redesign of manual default prediction models using R, reducing processing time by 95% - Enhanced credit risk models using financial analysis (regression, time series), optimising loan portfolios and decision-making, resulting in more accurate predictions for credit approvals

Information Security Intern
- Led a team to develop a VBA automation tool for incident dashboards; coordinated regular check-ins with the Head of Operational Risk to align outputs with reporting needs, cutting logging time by 90% - Developed compliance checklists, accelerating audit speed by 50% and ensuring financial regulatory adherence
Education
Shannen Tan's Contact Information
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