Resume
Contact
- Email: yvnalv@gmail.com
- Location: Jakarta, Indonesia
- Website: yvnalvworks.com
- LinkedIn: https://www.linkedin.com/in/yovan-alvianto/
- GitHub: github.com/yvnalv
Skills
- Data Science, Machine Learning
- Full-Stack Software Development
- REST API, SQL/NoSQL, Web Scraping
- Real-Time Systems, IoT Integration
- Cloud Deployment, CI/CD
Tools & Stack
- Python, TypeScript, C#, SQL
- Next.js, ASP.NET Core, Express.js
- TailwindCSS, Bootstrap
- PostgreSQL, MongoDB, SQL Server
- AWS, Docker, Git, Vercel, Azure
Languages
- Indonesian - Native
- English – Professional Working Proficiency
- Japanese – Intermediate Proficiency
Awards
- 2nd Winner of Panasonic Asia Pacific Cost Buster Competition in Singapore
Summary
Innovative and results-driven professional with 5+ years of experience in data-driven software engineering, data science, and machine learning. Proven ability to design and deploy intelligent systems that extract insights, automate workflows, and support strategic decision-making. Skilled in building robust APIs, scalable web applications, and efficient data pipelines. Experienced in professional web scraping, collecting and processing large-scale structured and unstructured data from diverse sources. Passionate about turning data into actionable value through clean architecture, machine learning models, and end-to-end deployment solutions.
Professional Experience
Data Scientist – Freelance & Project-based
2020 – Present
- Built industrial energy monitoring system combining real-time IoT data ingestion, forecasting, and anomaly detection.
- Designed robust data pipelines to collect electricity usage (voltage, current, power factor) via ESP32 devices and MQTT, storing time-series data in SQL Server.
- Built and deployed ML models to forecast energy consumption, detect abnormal patterns, and enable proactive energy management.
- Built a web scraping pipeline to collect used car pricing data from one of Indonesia’s largest car e-commerce platforms. Performed data cleaning, preprocessing, and exploratory analysis to uncover market trends and pricing patterns.
Production Innovation & Digital Transformation
2012 – Present
- Actively contributed in roadmap planning, developing, and deploying digital solutions as part of the company’s digital transformation, achieved 30% manual process reduction.
- Developed end-to-end web apps using ASP.NET Core + SignalR & SQL Server for real-time spare parts inventory control solutions and BI dashboards. Save 80% from the manual transaction time & eliminate paper usage.
- Built C#/.NET Core desktop applications for real-time production line monitoring. Enabled early detection of bottlenecks and deviations using rule-based logic and statistical methods, empowering supervisors with actionable insights to improve takt time, line balance, and overall equipment efficiency (OEE).
- Designed and deployed REST APIs to unify inventory and maintenance data, enabling predictive maintenance through time-series analysis and anomaly detection on equipment usage patterns.
Panasonic Technical College Japan
2018 – 2019
- Specialized comprehensive program blending technical skills, business management, and industry 4.0 practices.
- Gained hands-on experience in IoT development, smart manufacturing, and digital transformation projects.
- Trained in a Japanese environment, gaining cross-cultural communication skills and a high standard of discipline
Education
Associate Degree in Information Systems
Universitas Bina Sarana Informatika, 2011 – 2015
GPA: 3.25 / 4.0
Skill Proficiency
Certificates
Data Scientist Certificate
Issued by Datacamp · 2025
Completed advanced curriculum covering supervised and unsupervised machine learning, model evaluation, feature engineering, and real-world applications of classification, regression, and clustering. Gained hands-on experience with tools such as scikit-learn, XGBoost, and SQL for data-driven problem solving at scale.
Data Scientist Associate Certificate
Issued by Datacamp · 2025
Validated foundational skills in Python, data manipulation (pandas), data visualization (Matplotlib & Seaborn), statistical thinking, and introductory machine learning. Demonstrated capability to work through the full data science lifecycle from data cleaning to insights.
Cloud Practitioner Essentials (AWS)
Issued by Dicoding · 2023
Gained foundational knowledge of AWS cloud services, global infrastructure, security best practices, pricing models, and deployment strategies. Developed understanding of core services such as EC2, S3, RDS, and IAM, and how to leverage the cloud for scalable, cost-effective solutions.Focused on building, evaluating, and deploying ML models on Azure platform.