Capstone Projects Capstone Projects
In our Capstone project, we provided a pipeline for our clients to evaluate and reduce bias in their financial classification models using the AI Fairness 360 package developed by IBM. Our client, 2nd Order Solutions (2OS), is a financial service firm that provides banks with machine learning algorithms to decide...
Our team collaborated with AMECO, a construction service company, to address their challenge of aligning actual profit margins with targeted goals. Based on past years sales performance, AMECO is experiencing a constant decline in profit. The target profit is achieved by selling their products at their target profit margins. Therefore,...
Anesthesiology providers are believed to be at least as likely as the general population to suffer from non-medical opioid use. Currently, there is a lack of data-driven methods to efficiently identify providers in need of support. This project applies machine learning models to electronic health records to detect changes in...
Our project with DataOceans represents a significant advancement in solving the intricate challenges of data preprocessing for key industries by leveraging artificial intelligence, including machine learning and natural language processing. Through the implementation of an AI-driven system that features error detection and machine learning for header classification, especially employing the...
Our client, DataOceans distributes other companies’ billing statements that contain advertisements for new products. To make the ads more personalized, DataOceans has developed a user interface that allows businesses to define specific criteria for targeting their advertisements. For instance, a business might target married males over the age of 40,...
This project characterizes the relationship between gender and academic research funding through the examination of the allocation of National Institutes of Health (NIH) R01 grants. Despite providing detailed funding and institution-level information on Principal Investigators (PIs), the NIH does not make individual-level demographic data public, making it challenging to directly...
Our client, Orderly, aims to develop an up-to-date healthcare provider database to help patients, healthcare insurance firms and health tech companies to find the right healthcare provider information efficiently. Currently, they have developed an algorithm capable of verifying healthcare provider information by finding relevant online data. Our role is to...
It is widely believed that environmental factors such as lack of employment opportunities, Inadequate access to food, unstable housing, and household substance use, lead to family stressors that negatively impact children. Some of these impacts may come through direct maltreatment from family or community member. This capstone project focused on...
Our project addressed the significant challenge of reducing computational and storage costs associated with the deployment of large language models (LLMs) at Proofpoint. Recognizing the vital role of LLMs in enhancing the detection and mitigation of cyber threats across emails, documents, and other communication channels, our team embarked on a...
All animal behavior is based on approach and avoidance motivations. Organisms tend to approach things that are positively valenced or beneficial to them and avoid things that are negatively valenced or harmful to them. The automaticity of these fundamental motivations has been supported extensively with empirical research using various types...
The US Army is responsible for recruiting for its Special Operations Command, a unit of highly specialized personnel responsible for challenging and critical missions, where its members come from various branches in the larger military (Army, Navy, and Air Force). The recruiting and hiring process is very time-consuming, and the...
Public project statement not available.
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