Bayu Zen Ahmad

Developed an end-to-end pipeline integrating OpenAI, OCR, and Azure Cosmos DB for automated document processing. Built an end-to-end data pipeline using Microsoft Fabric, migrating data to Azure SQL, processing with Dataflow Gen2, and visualizing insights in Power BI.

Built forecasting pipelines, including data ingestion, feature engineering, and time series modeling using Prophet and Skforecast to predict key business metrics. Developed scalable backend services and RESTful APIs using FastAPI, implementing CI/CD pipelines and automated model deployment with Docker, Apache Airflow, and Kubernetes.

Developed an end-to-end image generation pipeline. This involved integrating Stable Diffusion, ComfyUI, and OpenAPI to create a robust system.

Developed a time series forecasting model to predict monthly demand for over 21,000 materials, achieving over 90% accuracy. Implemented an automated model selection pipeline to identify the best-performing time series model for each material.

Built dashboards in Tableau and Looker Studio to monitor merchant performance and credit scoring trends. Developed PySpark-based ML pipelines for customer classification and prediction tasks, applying RFM analysis and clustering to identify non-BRI customers.

Developed BI reports and dashboards for a YC-backed consumer tech company using Tableau and Python. Supported an agent-led commerce platform by translating business requirements into actionable insights.

Analyzed and monitored stainless steel production using Minitab and statistical methods. Conducted correlation studies between process parameters and product defects, standardizing operational procedures for quality consistency.

Grade: 3.58 of 4.00

Completed a Bachelor of Science degree in Material Engineering. Achieved a GPA of 3.58 out of 4.00 and graduated with Cumlaude honors.