Explainability and Fairness in Credit Underwriting-------------------* I participated in designing a product to assess and mitigate discrimination in lending. I researched fair lending laws, the current art in their enforcement, and the key areas of ambiguity in fair lending regulation. * I developed:(a) interpretable measurements to proactively monitor for discriminatory practices. (b) attribution of disparities to driving factors in a model.(c) automated suggestions of what an applicant can do to be approved in the future.* I lead our data science team's participation in a Stanford+FinRegLab research study: https://finreglab.org/ai-machine-learning/explainability-and-fairness-of-machine-learning-in-credit-underwriting/Sales Optimization-------------------* I helped our client maximize the profitability of their sales team's time. We did this by automatically deciding which sales people each inbound lead should be allowed to book an appointment with. * We used machine learning to maximize the expected revenue gain from our booking decisions whilst using control theory to ensure none of the salespeople have too few or too many appointments. We validated the logic with backtesting for profitability, appointment calendar stability, and prediction error. We also designed production a/b testing to monitor actual revenue gain and iteratively make improvements to the system.* We used python, scikit-learn pipelines, pandas, numpy, scipy, and our in-house Probabilistic Rules Engine. I built a custom controller in numpy to stabilize the supply of each sales person's time in response to demand in a manner similar to dynamic pricing.

Develop strategy and prototypes for generative AI, natural language processing, and graph analytics tools that better leverage Impending Bloom's proprietary data to deliver value to ESG investors.

Developing a Natural Language Processing product from prototyping to production. Technical focus on text embeddings, unsupervised learning, matrix factorization, and dimensionality reduction.

Helping companies ranging from finance to social networking to bio-informatics create novel solutions using modern statistics and machine learning.

Give advice on regression & classification model development, algorithm performance optimizations, and design of behavioral metrics.

Easing the burden of critical medication adherence through caretaker-centered software and hardware solutions.

Designed and programmed anomaly detection feature for automating insight generation in business intelligence reporting. Created a novel proprietary algorithm building on a few existing approaches in the literature for this task.Architected and programmed Alexa & Google Assistant integrations for an IoT appliance, including voice interaction models and integrations between voice services and 3rd party cloud services. Created a fully functional prototype of the 3rd party cloud service to unblock development on front-end voice software.Architected and programmed a RESTful web service to convert arbitrary text articles into streamable podcasts delivered via RSS feed, with the help of modern text-to-speech technology.

Conducted research on user listening behaviors by mining web application data and designing experiments.Presented insights to product team and participated in ongoing development of business strategy.Managed an agile content-creation cycle for the music team.

Created a system for automatic prioritization of customer feature requests in collaboration with product and support teams.Wrote scripts to automate repetitive manual tasks in support team workflow.Provided customer insight in a cross-functional manner to marketing, design, and product teams.

Assisted Dan Moses Schreier in creating the violent and ethereal soundtrack for Troilus & Cressida, directed by Dan Sullivan, as part of The Public Theater's Shakespeare in the Park series.

Designed original music and sound effects for five seasons of awesome, free-to-the-public shows for the Oberlin Summer Theater Festival, including lots of Shakespeare!

Hands-on implementation of numerous theatrical sound systems, including the first Meyer Constellation system in a North American Theater, as an apprentice on a highly skilled team.Studied sound system design for theater venues from visiting sound designers as well as Rep staff.Served as mentor to teen composers & sound designers in the Teen One Acts Festival.

Crafted music, sound, and sound systems for a host of interesting and experimental shows at Cleveland public theater.