I am a 5th-semester Informatics Engineering student at Universitas Dian Nuswantoro (UDINUS), Indonesia. My journey is driven by curiosity—turning raw data into meaningful stories. I specialize in mining insights from structured numbers (Tabular) and unstructured language (Text/NLP).
- 🧐 What I'm Focusing On
- 🛠️ Tech Stack & Tools
- 🚀 Featured Projects
- 📈 GitHub Stats
- 📫 Connect with Me & Resume
- Data Science: Exploratory Data Analysis (EDA), Feature Engineering, and Model Building.
- NLP (Natural Language Processing): Text Classification, Sentiment Analysis, and Language Modeling.
- Tabular Data: Handling imbalanced datasets (SMOTE/SMOTENC), preventing data leakage, and interpretability.
Languages:
Data Science & Machine Learning:
NLP & GenAI Frameworks:
Web Framework (API):
Visualization:
Environment & Tools:
Here is a comprehensive list of my Data Science & AI projects, ranging from robust predictive modeling to API deployment and NLP exploration:
Interactive AI agents and chatbots powered by RAG and LLMs.
| Project Name | Domain | Key Tech | Description |
|---|---|---|---|
| InsightSQL (ReAct Engine) | GenAI / SQL Agent | LangChain (ReAct), Gemini 2.5 Flash | Advanced Reasoning Agent. Intelligent DBA using ReAct Architecture (Thought-Action-Observation) to reason through messy data. Features Glass Box AI transparency, self-correction, and multilingual business insights. |
| InsightSQL (Simple) | GenAI / SQL Agent | LangChain (SQL Agent), Gemini 2.5 Flash | Zero-Shot SQL Engine. Streamlined Text-to-SQL assistant using standard create_sql_agent. Efficiently maps schema to queries with real-time execution feedback via Streamlit Callbacks. |
| Chat with Vio (Portfolio AI) | GenAI / Portfolio | Streamlit, LangChain, Gemini 2.5 | Interactive CV. A personalized RAG assistant that "chats" with a professional profile. Features Strict Anti-Hallucination, bilingual support (EN/ID), and a responsive UI optimized for recruiters. |
| DocuTalk-AI (Smart RAG) | GenAI / RAG | LangChain, Gemini 2.5 Flash, FAISS | Agentic Workflow. Intelligent document assistant using ReAct Agents to decide between Document retrieval (PDF, CSV, TXT, MD) (FAISS) or Web Search. Features Incremental Indexing (cost-efficient), strict language control, and session export. |
| DocuFlow-AI (Fast RAG) | GenAI / RAG | LangChain, Gemini 2.5 Flash, FAISS | High-Performance Engine. Streamlined RAG using ConversationalRetrievalChain for instant, precise analysis (PDF, CSV, MD). Features Transparent Verification (Source & Score), incremental indexing, and zero agentic latency. |
| DocuChat AI (Long Context) | GenAI / LLM | Gemini 2.5 Flash, Streamlit, Python | Full Context Approach. Analyzing entire PDFs without chunking (RAG alternative) using Gemini's massive context window. Features Strict Language Enforcement and real-time token monitoring. |
| AI Recipe Generator | GenAI / Agent | LangChain, Gemini, Streamlit | Agentic App. Orchestrated a cooking assistant using LangChain ReAct Agents and Gemini 2.5 Flash to detect ingredients (Vision) and generate recipes with conversation memory. |
High-performance APIs and production-ready inference engines.
| Project Name | Domain | Key Tech | Description |
|---|---|---|---|
| Portfolio API (Backend) | Backend / API | FastAPI, Docker, FAISS | Headless RAG Engine. The high-performance backend serving the portfolio data. Features Swagger UI for testing, structured JSON responses with Source Citations, and fully Dockerized deployment on Hugging Face Spaces. |
| Stuntify API (MLOps) | API / MLOps | FastAPI, Pydantic, Scikit-Learn | High-Performance Engine. A robust inference system using FastAPI to serve real-time stunting predictions. Features strict Type Coercion, multi-artifact orchestration, and interactive Swagger documentation. |
| Insightify API (NLP) | NLP / API | FastAPI, Transformers, Pandas | Dual-Lingual Analytics. NLP microservice for English & Indonesian sentiment using RoBERTa. Features Batch Processing (Excel/CSV), N-Gram keyword extraction, and automated text statistics. |
| Stunting Prediction API | API / MLOps | Flask, Python | Deployment. Serving the stunting prediction model as a RESTful API for real-time inference using Flask. |
In-depth data analysis, model training, NLP implementation, and academic research.
| Project Name | Domain | Key Tech | Description |
|---|---|---|---|
| Diabetes Prediction (Robust) | Tabular | Scikit-Learn, SMOTE | Best Practice. Built a robust model ensuring no data leakage by applying Scaling & SMOTE after data splitting. |
| Stunting Analysis | Tabular | SMOTENC, Tree Viz | Handling categorical imbalance with SMOTENC and visualizing decision paths (Pruned Tree) for interpretability. |
| Review Sentiment Analyzer | NLP | Transformers, Python | Leveraging Hugging Face pre-trained models to accurately classify text sentiment (Positive/Negative). |
| Diabetes Paper Replication | Academic | Python, Pandas | Research Study. Replicating a specific research paper's methodology (including its pre-split scaling technique) for comparative analysis. |
Focusing on exploratory data analysis (EDA), business intelligence dashboards, and visual storytelling.
| Project Name | Domain | Key Tech | Description |
|---|---|---|---|
| Supermarket Sales Dashboard | Retail Analytics | Tableau Public | Sales & Operations. Dashboard monitoring Total Sales, COGS, and Customer Ratings across major cities. Features breakdown by Payment Methods (E-wallet/Cash) and Product Line performance. |
| Bike Sales Dashboard | Executive Sales | Tableau Public | Revenue Tracker. High-level executive view of Revenue and Unit Sales. Analyzes performance by US States, Brand Names, and identifies Top 10 High-Value Customers. |
Creative coding projects exploring logic flows, real-time communication, and game-like interactions.
| Project Name | Domain | Key Tech | Description |
|---|---|---|---|
| Conversational AI Agent | GenAI / Persona | Streamlit, Gemini LLM | Roleplay Chatbot. An engaging AI companion simulating a romantic partner using Google Gemini, featuring persistent memory and dynamic persona adaptation. |
| Real-time Chat Group | Social / Socket | Python, Networking | Multi-User Chat. A casual project exploring real-time communication and socket programming principles to create a functional group chat environment. |
⚠️ Disclaimer: These projects are created purely for educational purposes and fun. They are provided "as-is" without warranty of any kind. The author is not responsible for any security vulnerabilities, data loss, or misuse resulting from the deployment of this code. Not intended for production use.
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"Data is the new oil, but it’s useless without the engine to refine it."