I am a data scientist and AI/ML engineer with experience building practical machine learning, fraud detection, credit scoring, OCR, and agentic AI solutions. I enjoy turning complex business problems into reliable end-to-end systems, from data preparation and model development to deployment and production monitoring. My recent work has focused on LLM workflows, document extraction, multi-agent systems, and cloud-based applications that help businesses make faster and better decisions. I have worked across financial services, insurance, retail, and professional services, collaborating with technical teams and business stakeholders in international environments. I am comfortable working with Python, SQL, Google Cloud, Docker, data visualization tools, and modern AI frameworks, while also providing technical guidance, mentoring, and architectural advice. I value clear communication, continuous learning, and building solutions that are both accurate and useful in real-world operations.

Daniel Riandy

I am a data scientist and AI/ML engineer with experience building practical machine learning, fraud detection, credit scoring, OCR, and agentic AI solutions. I enjoy turning complex business problems into reliable end-to-end systems, from data preparation and model development to deployment and production monitoring. My recent work has focused on LLM workflows, document extraction, multi-agent systems, and cloud-based applications that help businesses make faster and better decisions. I have worked across financial services, insurance, retail, and professional services, collaborating with technical teams and business stakeholders in international environments. I am comfortable working with Python, SQL, Google Cloud, Docker, data visualization tools, and modern AI frameworks, while also providing technical guidance, mentoring, and architectural advice. I value clear communication, continuous learning, and building solutions that are both accurate and useful in real-world operations.

Available to hire

I am a data scientist and AI/ML engineer with experience building practical machine learning, fraud detection, credit scoring, OCR, and agentic AI solutions. I enjoy turning complex business problems into reliable end-to-end systems, from data preparation and model development to deployment and production monitoring. My recent work has focused on LLM workflows, document extraction, multi-agent systems, and cloud-based applications that help businesses make faster and better decisions.

I have worked across financial services, insurance, retail, and professional services, collaborating with technical teams and business stakeholders in international environments. I am comfortable working with Python, SQL, Google Cloud, Docker, data visualization tools, and modern AI frameworks, while also providing technical guidance, mentoring, and architectural advice. I value clear communication, continuous learning, and building solutions that are both accurate and useful in real-world operations.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
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Work Experience

Senior Data Scientist at Artefact
October 1, 2025 - Present
Developed agentic AI receipt extraction and document processing solutions for clients in Singapore, Thailand, and Malaysia, achieving extraction precision and accuracy rates ranging from 89% to 98%. Built structured analytical data pipelines, deployed interactive demonstration applications on Google Cloud Run, and provided architectural guidance for AI initiatives. Mentored peers and contributed frontend deployment solutions for internal and client-facing demonstrations.
AI/ML Engineer at Boon AI
May 1, 2025 - October 1, 2025
Developed an AI-powered dashboard engine for the Pulse project using agentic workflows and multi-agent systems to generate business dashboards from raw data sources. Maintained and enhanced the production platform through debugging, code reviews, and pull requests. Researched and implemented LLM orchestration techniques, agentic frameworks, and multi-agent architectures.
Data Scientist II at Paper.id
July 1, 2023 - May 1, 2025
Developed automated fraud checking and transaction risk-scoring systems, including feature engineering, fraud definition, model deployment, and production integration. Created credit risk scoring solutions aligned with business risk appetite and built an LLM-based OCR extraction system for SLIK and KTP documents. Deployed a Docker and Cloud Run API for similarity-based fraud detection, enabling early alerts for operations teams.
Senior Data Scientist at Sequis Life
April 1, 2022 - July 1, 2023
Developed a machine learning model for automated underwriting, improving recall by 2% while reducing false positives. Built an automated model retraining pipeline and performed data collection, preparation, analysis, and ad hoc investigations. Communicated insights to cross-functional teams using Python and Tableau.
Data Scientist at PT Sinarmas Multifinance
July 1, 2021 - April 1, 2022
Developed credit scoring models using K-nearest neighbors and logistic regression to assess customers' ability to meet credit obligations. Designed and maintained Tableau reports for sales, collections, and scoring. Collected, cleaned, and analyzed customer data to support accurate modeling and business insights.
Data Analyst at PT Imora Motor (Honda Jakarta Center)
March 1, 2021 - July 1, 2021
Developed an automated script for daily report generation across dealers in the Honda Jakarta Center network. Transformed operational data into actionable insights and strategic recommendations that supported business initiatives and addressed challenges within the After Sales Division.

Education

Master of Computer Science - Data Science at Bina Nusantara University
July 1, 2021 - December 1, 2022
Bachelor of Mathematics - Business Mathematics at Pelita Harapan University
August 1, 2015 - February 1, 2020

Qualifications

Add your qualifications or awards here.

Industry Experience

Financial Services, Software & Internet, Retail, Professional Services