I'm Riwano Fariz, engineer at the intersection of AI & Data Science who transforms complex data into compelling stories and intelligent solutions.
About Me
The Story Behind the Data
My journey began with a simple question: "What stories do numbers tell?"This curiosity led me down the rabbit hole of data science, where I discovered that every dataset is a mystery waiting to be solved.
Like a detective examining evidence, I use machine learning algorithms, statistical models, and AI systems to uncover hidden patterns and insights. Each project is a new case, each dataset a collection of clues.
When I'm not deep in code, you'll find me exploring the latest AI breakthroughs, building intelligent systems that can think and learn, or sharing my discoveries through technical writing and mentoring.
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Core Expertise
Featured Projects
A collection of investigative works where data meets innovation
Electricity Demand Forecasting System
AI-driven forecasting model for predicting national electricity demand using weather and energy data.
Developed a machine learning pipeline to forecast electricity demand by combining Zenodo energy datasets with ERA5 weather data. Engineered advanced features such as lagged variables, rolling averages, and Cooling Degree Days (CDD) to capture heatwave effects. Evaluated models including Random Forest and XGBoost, achieving high accuracy (MAE ~2.1, R² ~0.998). Key insights showed extreme heat as the main driver of prediction errors, highlighting the importance of weather-aware forecasting for grid stability.
Purchase Intent Prediction App
Predicts whether a user will make a purchase based on their browsing behavior using ensemble learning.
This project predicts whether a user will make a purchase based on their browsing behavior. It uses ensemble learning by combining LightGBM and CatBoost models for improved accuracy and recall. The Streamlit web app allows users to input behavioral data such as pages visited, duration, bounce rates, and session details to get real-time predictions on purchase intent.
Hirehoo — AI-Powered Recruitment Platform
AI-driven recruitment system that screens resumes, ranks candidates, and assists recruiters with intelligent matching.
Currently building job–candidate embedding match pipeline using FastAPI and LLM-based scoring. Next steps include building recruiter dashboard, adding matching score visualizer, and launching alpha demo.
HygiaAI — Real-Time Medical Documentation Assistant
Real-time AI assistant that listens to doctor–patient conversations, transcribes speech, extracts medical entities, and generates structured summaries (SOAP notes).
Built with AssemblyAI Streaming for real-time transcription, LangChain for processing, and RAG for clinical context. Next steps include building entity extraction pipeline, adding RAG-based clinical suggestions, and creating demo-ready UI with live transcription.
Let's Connect
Ready to collaborate on your next data-driven project? Let's discuss how we can solve problems together.