Hi, I’m Hendry Rama Sethiawan
As a Master's candidate in Electrical Engineering specializing in unsupervised machine learning. This portfolio highlights two key projects demonstrating my skills in Python, data analysis, AI deployment, and problem-solving. These include my ongoing thesis on anomaly detection and a personal AI advisor app for MSMEs. The projects showcase end-to-end development, from data scaling to model evaluation, with a focus on real-world applications. All code is available on GitHub.
TECHNICAL SKILLS
Projects
This portfolio showcases two core projects that demonstrate my expertise in unsupervised machine learning, data processing, and full-stack AI deployment. Both emphasize practical problem-solving, robust implementation, and real-world impact in engineering and business contexts.
Anomaly Detection in Plantar Pressure Data (Thesis Project)
The project utilizes an ensemble approach combining Isolation Forest and Local Outlier Factor (LOF) to identify outliers in high-dimensional datasets.
Sethry AI Advisor for MSMEs
Sethry is an intelligent consulting platform designed to democratize access to business expertise. By utilizing a lightweight, open-source Large Language Model (LLM), Sethry provides instant, actionable advice on financial planning, marketing strategies, operations, and HR management for MSMEs.
This project is built with a focus on robustness, scalability, and reliability, mimicking the architecture of enterprise-grade consulting firms while remaining accessible and cost-effective.