About Me
I am Imam Bari Setiawan, an Informatics Engineering graduate from Universitas Muhammadiyah Purwokerto, specializing in Data Science and Full-Stack Web Development. I have experience developing end-to-end digital solutions that combine data analysis with modern, responsive interfaces. In the fields of Data Science and AI, I am proficient in building Machine Learning models (such as XGBoost for fraud detection systems achieving 99.96% accuracy) and GenAI/RAG architectures using LangChain, FAISS, and Google Gemini/IBM Granite, while also creating interactive applications with Streamlit. As a Full-Stack Developer, I complement my analytical expertise with the ability to build fully integrated, modern web applications using Next.js, Tailwind CSS, Express.js, and MongoDB. Training experiences with Hacktiv8, KitaKerja.ID, and Skilvul—where I won first place at the Demo Day event—have shaped a mindset focused on system efficiency, data security, and data-driven business solutions.
Project Portofolio
Precision-engineered solutions bridging Data Science
and High-End Web Architecture.
Insight Cerdas Dunia Kerja
Built an LLM with Replicate IBM Granite to classify job openings and summarize descriptions. Transformed unstructured job opening data into automated insights with 90% accuracy. Optimized accuracy using Cosine Similarity and Semantic Embedding metrics.
Fraud Detection System
Built a classification model using XGBoost with 99.96% accuracy and 94.9% precision. Analyzed customer patterns through data visualization to detect fraudulent transactions. Balanced precision and recall (F1-Score 85.7%) to minimize losses without disrupting users.
Fuzzy Matching Regional Data
Addressed inconsistencies in spelling across datasets using cleansing techniques. Applied fuzzy matching algorithm to automatically merge data with variations. Achieved 99.86% data join success rate across 11,567 rows.
SportOn E-Commerce
Developed 100% accurate interface for 'SportOn' e-commerce website designed in Figma. Integrated MongoDB for real-time data updates and faster information access. Implemented admin authentication system for secure access and content management.
Cardiovascular Risk Detection
Developed a ML model for cardiovascular risk detection with 73.46% accuracy. Implemented an interactive Rule-Based Chatbot for accurate responses. Built a web interface using Streamlit for seamless real-time assessment.
Legal Contract Analyzer
Implemented RAG (Retrieval-Augmented Generation) framework using LangChain and Google Gemini API. Integrated FAISS vector database for fast and accurate semantic search across legal document chunks. Built an interactive Q&A web interface using Streamlit to analyze legal contracts in real time.
Technical Skills
A specialized toolkit optimized for high-stakes data analysis and the engineering of premium digital interfaces.
Languages
Frontend Development
Backend & Database
AI & Data Science
Tools & DevOps
Cybersecurity
Education & Training
Universitas Muhammadiyah Purwokerto
Bachelor of Science, Informatics Engineering
Focus on Data Science and Web Architecture.
Continuing Education...
Full-Stack Web Programming
KitaKerja.ID
Intensive training in Next.js, Tailwind CSS, and full-stack integration with Express and MongoDB.
LLM-Based Tools & Gemini API
Hacktiv8
Advanced course on Generative AI, RAG pipelines, and scalable AI integration.
MSIB Kampus Merdeka - IBM Skillbuild
Skilvul
Specialization in AI & Cybersecurity. Included training in Data Integration, UI/UX Design, and Agile methodologies.
Certifications & Honors
Verified Achievements