Home

ABOUT ME¶

Hi, I’m Fitri Andri Astuti. I’m a freelance software engineer and data scientist who helps solve business challenges and academic research problems through technology, data, and automation. Currently, I work as a Software Engineer, Data Scientist, Statistician at the Central Bureau of Statistics of the Republic of Indonesia.

I enjoy working at the intersection of software development, data science, artificial intelligence, and geospatial analysis. My work focuses on building practical, scalable, and impactful solutions—whether it’s a web application, a machine learning model, or an automated data pipeline.

I have a strong interest in AI and machine learning, especially deep learning (CNN), computer vision, satellite imagery analysis, and workflow automation using tools like n8n. I also work with various cloud platforms, including Oracle Cloud, AWS, Alibaba Cloud, and IBM Cloud, to deploy and scale data-driven systems.

Academically, I studied at STEI, Bandung Institute of Technology (ITB), where my research interests revolved around data-driven decision making, CNN, and satellite imagery analysis. This academic background shapes the way I approach problems—structured, analytical, and research-oriented—while still grounded in real-world needs.

This website is my personal space to share knowledge, document experiences, and explore ideas in technology, data, AI, and automation. I believe that useful knowledge should keep flowing, and writing is one of my ways to contribute back.

✨ I’m open to freelance projects, research collaboration, and meaningful problem-solving work in software engineering, data science, AI, and automation.

EXPERIENCE¶

EDUCATION¶

WORK AND PROJECT EXPERIENCE¶

TEACHING EXPERIENCE¶

TRAINING AND COURSES¶

CERTIFICATIONS¶

RESEARCH¶

Labeling Service for Satellite Imagery Data¶

For make a good dataset in satellite Imagery data labeling needs correction and collaboration between users. A good dataset will produce a good model. Therefore, in this study, we present the software architecture of data labeling services. The architecture of the proposed data labeling service can be seen in figure bellow.

Antisocial Behavior Monitoring Services¶

The method or design used to develop a monitoring service for the multi-class classification of Twitter Indonesia's public antisocial behavior using machine learning. The steps taken at each stage in the proposed method can be seen in figure bellow.

PUBLICATION¶

Peer-Reviewed International Conference¶

Domestic Journal¶

International Seminar¶

ACHIEVEMENTS AND AWARDS¶

TECHNICAL SKILLS¶

Technical Skills
 ├── Programming Languages:     - Python, JavaScript, PHP, Java, R
 ├── Programming Frameworks:    - Flask, FastAPI, Streamlit, Dash, YiiFramework, Codeigniter
 ├── Automate Tools:            - n8n, Playwright Python
 ├── Databases:                 - MongoDB, Microsoft SQL Server, Postgres, MySQL
 ├── Development Platforms:     - Docker
 ├── Cloud Provider:            - Oracle Cloud Infrastructure (OCI), IBM Cloud, Amazon Web Services (AWS), Google Cloud, Heroku
 ├── Diagram Software:          - diagrams.net
 ├── Graphic Design Software:   - Adobe Lightroom, Snapsheed, Inkscape, Gravit Designer, Illustrator, Photoshop, CorelDRAW
 ├── Video Editing Software:    - iMovie, HitFilm Express, After Effect
 ├── Data Processing:           - QGIS, Mathlab, SPSS, Microsoft Excel
 └── Document Preparation:      - Microsoft Office, LaTex

CURRICULUM VITAE¶

CV Fitri Andri Astuti

Authors¶

Created by Fitri Andri Astuti