Data Scientist
and Software Engineer.
I’m Yovan Alvianto, a data scientist and software engineer based in Indonesia.
I really love working with data and help people to make the right data-driven decisions.
Featured Projects
Explore real-world projects in data science, software, IoT, computer vision and AI.
VialVision
An edge-AI computer vision system using YOLO on Raspberry Pi to detect and classify vial conditions.
Genome Visualization
Built a reproducible Python pipeline to generate publication-quality comparative genome figures.
Volto - Energy Monitoring
Implemented a real-time electricity usage monitoring dashboard with forecasting and anomaly detection.
Used Car Price Prediction
Deployed a machine learning model via REST API to predict car prices based on features.
E-Commerce Price Tracker
Automated product price scraping from online stores for real-time competitive analysis.
Prodigy - Production System
Developed a full-scale production monitoring system to improve decision-making on the shop floor.
SpareSync - Inventory Management
Developed a web-based inventory system for small businesses to manage stock and orders efficiently.
Trashr - Smart Trash Bin
Built an IoT-based waste management system with fill-level sensors and cloud data logging.
What I Can Help You Build
From raw data to clean datasets, insights, dashboards, and decision-ready metrics.
Build and deploy machine learning models as usable APIs and products, not just notebooks.
Detection, classification, and measurement from images or video, optimized for real-world usage.
Operational tools, dashboards, and systems that digitize workflows and improve performance.
Architecture reviews, technical guidance, and hands-on training for teams and individuals.
Recent Writings
Insights and case studies from our projects, research, and client work.
Optimizing Inventory Forecasting with Time Series Models
How we helped an SME improve their inventory strategy using Prophet and data-driven insights.
Building a Used Car Price Prediction System
A regression-based machine learning model with a user-facing interface to estimate used car values.
Energy Monitoring for Industrial Efficiency
Real-time IoT-based monitoring and forecasting platform to reduce energy consumption and detect anomalies.