- Worked on retail-focused AI/ML and data engineering initiatives supporting e-commerce operations, inventory management, and analytics workflows. Managed and optimized AWS-hosted infrastructure and data systems, including a retail inventory database containing more than 600 SKUs.
- Built and maintained scalable ETL pipelines using Python, Apache Airflow, AWS Kinesis, Pandas, and MySQL (AWS RDS) to process inventory and sales data for downstream analytics and machine learning applications.
- Performed data exploration, reporting, and visualization using Power BI, Excel, and AWS SageMaker to support operational insights and model development.
- Developed AI-driven systems including retrieval-augmented generation (RAG) applications and a real-time computer vision classification model for physical product recognition and retail automation workflows.
Ecommerce Systems & Data Intern
Habitat for Humanity
Experience Overview
Details
- Organization Habitat for Humanity
- Period September 2024 — May 2025