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Cornellius Yudha Wijaya

@cornelliusyudhawijay

Message

Data scientist and AI product leader driving impactful ML solutions.

Indonesia

Message

What I'm looking for

I seek roles where I can lead AI/product initiatives, build production ML systems, mentor teams, and deliver measurable business impact in collaborative, growth-oriented environments.

I am a professional Data Scientist with 7+ years delivering value through data science and AI, combining hands-on model development with product leadership to translate business needs into scalable solutions.

I've led AI product development and MLOps implementations, managed cross-functional teams, and deployed ML solutions that improved targets—such as achieving ~150% of an annual Propensity-to-Buy target, reducing manual processing time by 50%, and cutting churn and fraud rates.

I publish technical articles, founded a data newsletter that reached 9,000+ subscribers, and contribute to the data community while focusing on clean technical communication, cost-aware AI product management, and production-ready ML engineering.

Experience

Work history, roles, and key accomplishments

Current

Co-Founder, Chief Product Officer

Current

GoArif Startup

Jan 2024 - Present (2 years 5 months)

Leading development of Data Science dashboard features (visualization, statistical analysis, AI agents, Speech-to-Text, LLM-based RAG chat) and owning PRDs and AI product cost/usage; delivered four major features 15% ahead of deadlines with a six-person cross-functional team.

Product Management Data Visualization LLM RAG PRD文档撰写

AI Engineer (Contract)

PT. Sobat Sepadan

Feb 2024 - Jun 2025 (1 year 4 months)

Built a Financial-AI application using LLM services (OpenAI GPT-4, Gemini) achieving 98% business classification accuracy and cutting manual processing time by 50%; designed and deployed scalable architectures for document classification, extraction, and summarization.

LLM OpenAI Gemini Document Classification Summarization AI Architecture

Data Scientist Assistant Manager

Allianz Life Indonesia

Jun 2020 - Dec 2024 (4 years 6 months)

Developed company-wide end-to-end data science framework and MLOps, led ML projects (propensity-to-buy, segmentation, churn prediction, fraud detection) that achieved ~150% of annual target for propensity models, improved closing time by 10%, reduced churn by 3%, and decreased claim fraud by 1%.

MLOps Customer Segmentation Churn Modeling Fraud Detection AWS Microstrategy Python SQL