Vaidehi Patel Email & Phone Number

New York, Ny, Us

New York City Metropolitan Area

- Developed a tool that enhances our understanding of different methods to measure ethical considerations, like bias, in the context of using LLMs or Generative AI- Explored different statistical measures of fairness in a POC with a multiclass classification problem

New Brunswick, New Jersey, United States

- Facilitated student learning in understanding chemistry concepts by providing support during recitations with problem solving activities - Collaborated weekly with the professor to discuss problem-solving strategies, ensuring that explanations would be effective for the studentsPosition held intermittently September 2023 to May 2024, and September 2024 to present

- Contributed to the development of a Bluetooth-based Android app using Android Studio, creating a user interface for seamless navigation between screens and laying the groundwork for features such as device pairing and real-time signal strength tracking.- Conducted in-depth research on Bluetooth APIs, including BluetoothAdapter, BluetoothDevice, and BluetoothGatt, and developed an interface to support RSSI signal strength calculations, providing a framework for displaying device information and facilitating distance estimation.

- Applied machine learning techniques to to uncover early predictors of medical conditions such as heart disease from analyzing public healthcare datasets - Developed a model to assist in early detection and intervention following a comprehensive pipeline for machine learning including data preparation, preprocessing, and exploration, with a focus on identifying disparities across demographic groups by using fairness tools like Aequitas.

- Completed a 9-week Machine Learning Foundations curriculum focusing on data management, statistical analysis, and visualization with Jupyter Notebooks to train ML models such as decision trees and logistic regression. - Gained hands-on skills in recognizing problem types, accessing and preparing data, and using Python libraries such as Pandas, NumPy, and Scikit-learn for effective analysis and modeling.- Gained practical experience with machine learning models, including training decision trees and logistic regression, using Scikit-learn.- Explored a broad range of topics such as model training, performance optimization with ensemble methods, and real-world application preparation.

New York City Metropolitan Area

Waksman Student Scholars Program

Bachelor Of Science - Bs, Computer Engineering

High School Diploma

Activities and Societies: FCCLA HOSA Spanish Honors Society