● Team lead, SME, IC, head of delivery on data science, NLP, ML, DL, times series engagements at top banks and techs
● Provide strategic direction and build alignment for solving complex business problems with large monetary impact
● Disseminate latest research, novel applications, potential uses and economic impacts of AI, ML, LLMs to clients
● Develop prompt sets, finetune, deploy ML models, transformers, incl Palm and Gemini in production settings
● Design and implement qualitative validation methods for NLP, ML and generative AI output and insights
● Manage research and evaluation, teams of DS and ML engineers, and day-to-day ops in ambiguous environments
● Develop novel platform for cross product ecosystem analytics intel team at large tech company for portfolio strategy
● Create, deliver metrics, reports, insights to leadership on company, users, and products for product growth, GTM
● Design, implement, and operate large data pipelines at scale for NLP and ML projects

● Developed data strategy and roadmap, built large datasets and analytics system for University initiative
● Managed data team, research, hiring, budget, and day-to-day operations of initiative and research group
● Design and manage human evaluation team, assess reviewer performance, create evaluation metrics
● Reconcile reviewer and expert discrepancies, update process to ensure high quality, precision, accuracy, efficiency
● Wrote code to extract relevant text spans, entities, and values from legal and regulatory texts with NLP and SpaCy
● Designed process and evaluation metrics for construction of large, complex, and innovative datasets
● Built classification models for legal and regulatory texts with SpaCy, NLP, transformers
● Collaborated with stakeholders including faculty, students, researchers, staff, departments, and institutions
● Built ML models for record linkage of various commercial databases to create universal IDs
● Sourced new data, provided guidance on collection, tra

● Economic consulting engagements with top law firms, corps, and public entities involving $50M+ to $100B+
● Wrote code in SAS, STATA, MATLAB, R, Python for various econometric, statistical, and economic analyses
● Led research teams in empirical studies of regulatory policy, economics, large banks, tech, and mergers
● Built, cleaned, and managed massive datasets for large teams using a variety of programming languages
● Reviewed literature and replicated academic research for economic reports for use in complex litigation
● Developed and validated economic, econometric, time series, and ML models, saving money for clients
● Evaluated economics of antitrust cases and product price fixing conspiracies with various modeling techniques
● Managed complex research projects, provided primary support to academic experts, management, legal teams
● Analyzed potential mergers in context of regulatory policy, estimated demand and potential consumer effects