● Support coursework, which was entirely conducted in the R programming language.● Assist with in-class activities and maintain awareness of course content by attending lectures.● Grade class assignments, labs, and exams, ensuring consistent and accurate evaluation.● Lead lab sessions and facilitate discussions to reinforce key concepts in statistics, data analytics, and machine learning.● Monitor Piazza to provide timely assistance and answer student questions about coursework.

Provided an exquisite dining experience to guests with a focus on delivering exceptional service.

● Researched and implemented machine learning techniques to detect network intrusions by monitoring network traffic.● Transformed and refined large datasets using Pandas, Numpy, and Scikit-learn for improved model performance.● Trained highly precise tree-based models for threat detection based on known attack signatures, achieving 99.9% accuracy with real-time detection capabilities.● Developed a feed-forward neural network from scratch using Numpy and implemented an autoencoder in PyTorch to detect anomalous network traffic, potentially indicating new attack vectors.● Implemented a Kalman filter algorithm from scratch to accurately estimate the position of location markers and improve the vision and pose estimation capabilities of a self-driving robot.

● Utilized data-driven approaches to assist clients with finding rental properties, leveraging New England’s most comprehensive database of listings.● Conducted market analyses using listing data to identify trends and opportunities for clients, providing valuable insights for decision-making.● Implemented database management strategies to ensure accurate and up-to-date information for client consultations.● Communicated market trends and rental property information effectively to clients, empowering them to make informed decisions.