Worked under the direct supervision of the Executive Director of Data Analytics, CTO, and CIO to produce the bank's first internal AI-driven research project, using R on portfolio data to infer behavioral patterns in client, advisor, and market activity. Created a transaction volume visualization tool in Tableau for the CIO's investment team and integrated it into the AI pipeline that I developed for my work, performing a great deal of inferential technical analysis on primarily Latin American securities. As an early AI practitioner at the bank, I also contributed some ideas to the bank's strategy for standing up an AI team in the future. Ultimately presented the results of all these lines of inquiry to a full session of the bank's executive committee.

Independently restarted an internal project to index property acquisition targets, blending open-source data with proprietary records. Overhauled the existing process to rely on a novel artificial intelligence model, supported by custom-developed data validation tools. Contributed artificial intelligence-driven analytics to the buy box for determining acquisitions of other property managers. Designed guidelines and procedures for organizational data management, avoiding a major expenditure for the firm on a CIO. Simulated various rental markets using internal rental data and public market information to optimize rental listings and renewals.

Awarded a fellowship in the Venture Initiation Program by the Wharton Venture Lab to assist Ensemble Consultancy as a product marketing intern. Independently developed Ensemble’s go-to-market strategy for bringing its government-facing products to the private sector in its Space Labs division. Conducted market research across several industries, evaluating potential product fit and generating new product ideas that extended the marketability of Ensemble’s core service: a space weather API. Designed targeted email marketing templates and campaigns based on insights obtained from relevant market research. Created a database of potential clients across the energy trading industry to track engagement, schedule product demonstrations, and populate email campaign templates, successfully delivering a letter of intent pipeline in preparation for an upcoming funding round.

Awarded the Venture Lab Startup Internship Grant to contribute to Clarifi’s productivity platform designed to empower students afflicted by ADHD with the tools they need to attain better educational outcomes. Implemented the entirety of the app’s Google Classroom integration in the Django framework using a combination of Python, JavaScript, and HTML. Ideated and developed a prototype Chrome extension, allowing students to more easily bring their tasks and tabs into Clarifi’s locked-down desktop workspace. Wrote detailed documentation files describing architecture, functionality, and next steps for all relevant projects undertaken at Clarifi.

Under the supervision of Professors Yuval Kluger and Ofir Lindenbaum, conducted independent analyses of patient-derived data (scRNA-seq), identifying new small molecules with translational potential for non-invasive psoriasis treatments. Through the Department of Pathology’s interdisciplinary collaboration with the Program in Applied Math, performed quality-control tests of the lab’s novel machine learning algorithms, contributing these results as an author on a paper published in September 2021. Attended industry conferences to network with other scientists, increasing the lab’s productivity with their tools and methodologies. Became one of the lab’s primary reviewers after demonstrating proofreading and editing skills that boosted paper acceptance rates.

Student-run computer science education project that offers free virtual instruction to children from underprivileged backgrounds.

Summer internship at a computational astrophysics laboratory under the supervision of Dr. Luca Matone and Dr. Zsuzsanna Márka. Applied novel machine learning methods to non-Gaussian noise classification.

Research assistant gathering and performing analysis of followup data from Basecamp's alumni to assess how to better spread access to social entrepreneurship workshops across New York City.