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Wayfair n8n AI Agent Engineering Externship

Learn one of the most in-demand skills shaping the future of work: building AI agents. In this externship, you’ll step into the role of an AI Agent Developer and use n8n to design agents that think, plan, and act on real data — automating insights, decisions, and workflows. No coding experience required. By the end, you’ll create a live dashboard powered by your own AI agents, gaining hands-on experience that applies to any role or industry — from marketing and consulting to product management and data science.

SGC Vendor Engagement Analytics Dashboard | Northeastern University (Capstone)

Developed interactive dashboards using Tableau and Qlik to centralize vendor and partner data, analyzed supplier diversity metrics, vendor distribution, and service coverage, identified gaps in vendor engagement to support strategic procurement decisions, and integrated multi-source datasets into a unified analytics platform.

NYC Motor Vehicle Collision Analysis & Prediction | Northeastern University

Analyzed 1.6M+ crash records with 29 variables to identify key drivers of accident severity, built and evaluated machine learning models (Random Forest, XGBoost, Decision Tree) achieving up to 86% accuracy, improved detection of high-risk incidents by increasing recall from 0.07 to 0.46 through threshold tuning, applied K-Means clustering to identify geographic accident hotspots and risk patterns, and delivered data-driven recommendations to support traffic safety policy and resource allocation.

Instacart Customer Segmentation Analysis (Big Data – PySpark)

Processed 33M+ transaction records using PySpark in a distributed computing environment, engineered behavioral features and applied PCA and K-Means clustering to identify three customer segments, generated insights linked to an estimated $70M revenue opportunity, and built scalable pipelines for large-scale data transformation and analysis.

News Text Classification Microservice (NLP + Deployment)

Developed and deployed a Flask-based REST API for real-time text classification, implemented an NLP pipeline using TF-IDF and Logistic Regression, containerized the application using Docker and deployed it on Hugging Face Spaces, and enabled scalable batch and real-time predictions via API endpoints.

Transfer Learning for Image Classification

Built an image classification model using ResNet18 transfer learning, achieving over 81% validation accuracy through fine-tuning and regularization, and applied data augmentation and early stopping techniques to improve model generalization.