Cornellius Y.

Co-Founder

Central Jakarta, Jakarta, Indonesia8 yrs experience
Highly StableAI Enabled

Key Highlights

  • Led AI product development at Arif Analytics.
  • Achieved 150% of revenue targets with propensity models at Allianz.
  • Authored 500+ articles on AI and data strategy.
Stackforce AI infers this person is a SaaS and Fintech expert with a strong focus on AI-driven product development.

Contact

Skills

Core Skills

Product ManagementArtificial Intelligence (ai)Data VisualizationOperations ManagementBusiness Data ManagementWritingMachine LearningData ScienceMlops

Other Skills

Python (Programming Language)Team LeadershipLarge Language Models (LLM)Statistical AnalysisLLM-powered Retrieval-Augmented Generation (RAG)Agent capabilitiesStart-up LeadershipDigital StrategyAPIAmazon Web Services (AWS)Project ManagementData AnalysisEmbeddingDSPyAgent-based Modeling

About

DMs might get missed. For collaborations, please write to me at: cornelliusyudhawijaya@nb-data.com Hi there👋 🔹 I help organizations turn data into scale products, bridging my background as a Data Scientist and AI Engineer with my current role as Chief Product Officer. I focus on data Product Strategy, transforming raw data into trusted, usable, and monetizable products. 🔹 With 7+ years leading enterprise data science teams (Allianz, startups) and now building SaaS at ARIF, I’ve seen how models, dashboards, and pipelines fail without a product mindset. That’s why I work on frameworks that move teams from data as an asset → data as a product. Some highlights from my journey: ✅ Propensity models that drove 150% of Allianz’s annual revenue targets ✅ Fraud detection systems reducing losses by 7-figure margins ✅ LLM-powered chatbots with RAG cutting customer support costs by 30% ✅ SaaS data platform (ARIF) turning advanced analytics into a productized experience 🔹 I also share what I learn. I’ve written 500+ articles (KDnuggets, Towards Data Science, MachineLearningMastery, Non-Brand Data) for 2M+ monthly readers, translating complex AI/ML + data strategy concepts into actionable playbooks. 🔹 Today, I collaborate with professionals and organizations on: 👉 Consulting: Data product strategy, machine learning pipelines, and LLM product design 👉 Content & Speaking: Articles, workshops, and keynotes on Data Science and AI 📌 If you want to bridge the gap between data teams and business outcomes. Let’s talk. 📩 Write to me for consulting, speaking, or content partnerships.

Experience

Stealth startup

AI Engineer (Generative AI/ LLM)

Feb 2024 – Jun 2025 · 1 yr 4 mos · Remote

  • As an AI Engineer, I specialize in developing advanced AI products that leverage both open-source and closed-source LLM services. The product focuses on validating the business and connecting with the investor with AI.
  • My responsibilities including:
  • Develop Financial-AI powered application with both open-source and closed-source LLM services.
  • Implement AI models’ architecture and ensure the AI product met the company vision.
  • Ensure AI models seamlessly integrated with the existing system.
  • Translate the business requirement into necessary solution required from the application.
Python (Programming Language)APIArtificial Intelligence (AI)Machine LearningAmazon Web Services (AWS)

Arif analytics

Chief Product Officer (Generative AI/ LLM)

Jan 2024 – Present · 2 yrs 2 mos · Australia · Remote

  • As the Lead Data Scientist and Startup co-founder, I oversee the data science team and steer the direction of the AI product. I will also collaborate with the other departments to ensure the AI product is on the right track.
  • My responsibilities including:
  • Led the development of Data Science Dashboard features, including Data Visualization, Speech-to-Text, and Statistical Analysis, and enhanced the platform with LLM-powered Retrieval-Augmented Generation (RAG) and Agent capabilities
  • Produce Product Requirements Document (PRD) and ensure the direction of AI product following the company vision.
  • Managing the AI product usage and the cost incurred related to the AI activity.
  • Collaborated with the team members to achieve target results and meet deadlines. Validate the timeline with the developer teams.
Python (Programming Language)Team LeadershipArtificial Intelligence (AI)Large Language Models (LLM)Product Management

Berdata

Founder

Jan 2024 – Present · 2 yrs 2 mos · Remote

  • Berdata provides the latest information about data science and related fields with up-to-date blogs and educational material in Bahasa, Indonesia.
  • We also provide services to fulfill your data science and machine learning model needs, including:
  • Data Analysis and Visualization
  • Predictive Modeling and Machine Learning
  • Business Intelligence (BI) Solutions
  • Generative Artificial Intelligence and Deep Learning Solution Development
  • Data Strategy and Consulting
  • Optimization and Automation
  • Training and Workshops
Operations ManagementStart-up LeadershipPython (Programming Language)Business Data ManagementDigital Strategy

Kdnuggets

Contributing Writer

Dec 2022 – Oct 2025 · 2 yrs 10 mos · Remote

Writing

Allianz

2 roles

Data Scientist Assistant Manager (ML / LLM/ MLOps)

Promoted

Jan 2022 – Dec 2024 · 2 yrs 11 mos

  • Generate Data Science end-to-end working framework for the company and implement MLOps design within the framework. End-to-end means from understanding the business problem to the model monitoring.
  • Successfully implemented and supervised various Machine Learning model to improve the business quality, including:
  • o Successfully implemented and supervised Propensity-to-Buy Machine Learning models in several business lines to meet the business target and achieved close to 150% of the Annual Target.
  • o Develop a customer segmentation model and analyze the segment data to provide insight into actions suitable for each segment. The action insight is used to support the Propensity-to-Buy project.
  • o Successfully implemented and supervised Churn Prediction Machine Learning models to avoid customer loss. Help decrease churn rate by 3%.
  • o Technical Project Leader for Fraud Detection Model Project in 2024 that help improve claim fraud business pipeline.
  • Leading teams of data scientist junior for the Machine Learning Project and educate the teams to be more independent
  • Educate the company regarding the benefit of Data Science and Machine Learning to bridge the business and technical requirement
  • Develop Microstrategy Business Intelligence Dashboard for Business User based on the Machine Learning project
  • Implement the ML Cloud-Based Services AWS within the company, specifically for end-to-end data science use cases (In progress)
Data ScienceProject ManagementArtificial Intelligence (AI)Amazon Web Services (AWS)MLOps

Data Scientist Supervisor

Jun 2020 – Dec 2021 · 1 yr 6 mos

  • Working day-to-day on the data project within the business to increase the business values of the company using the power of the data
  • Harnessing the power of Machine Learning within the company department depends on the business user requirements.
  • Educate people for the AI and Machine Learning benefits to the Business user

Non-brand data

Founder

Jun 2021 – Present · 4 yrs 9 mos · Remote

  • Get daily data science, machine learning, Python, and AI insights delivered to your inbox. Enjoy:
  • 👉Daily Tips & Tricks: Quick, intuitive data tips (almost) daily.
  • 👉Deep Dive Articles: In-depth guides to boost your skills and portfolio.
  • 👉Community & Consultation: Engage in discussions, share ideas, and solve data challenges.
  • Subscribe now to level up your data knowledge!

To

Contributing Writer

Dec 2019 – Present · 6 yrs 3 mos

Purwadhika startup school

Head of Data Science

Jun 2019 – May 2020 · 11 mos · Indonesia

  • Successfully conducting a classroom session for Data Science Course with participants both from a professional industrial background (Banking, Finance, HR, Math, Marketing, etc.) and Fresh Graduate.
  • Responsible for creating the Data Science teaching material and successfully implemented this material in the teaching session. Material including Python Programming Fundamental, SQL Fundamental, Data Science Analysis Methodology (Focus in Statistical Analysis and Visualization Analysis), and Machine Learning for Data Science.
  • Responsible to supervise the social media analysis project. Currently in progress of the sentiment analysis project. Future project plan including customer segmentation analysis and forecasting.

Potentialpark

Auditor

Oct 2018 – Dec 2018 · 2 mos · Stockholm, Sweden

  • Auditing career website from a various company and provide feedback to the team leader
  • Gained experience in detail work and teamwork

Department of cell and molecular biology, bmc, uppsala university

Summer Research Assistant

Jun 2017 – Aug 2017 · 2 mos · Uppsala, Sweden

  • Assisting ongoing research by planning research plan, documenting research progress and analysing the research data
  • Establishing a Standard Operational Procedure for one of the research at the laboratory

Lipi cibinong

Researcher

Mar 2015 – Aug 2016 · 1 yr 5 mos · Cibinong, Bogor

  • Assisting ongoing research by planning research methodology, recording the progress, analyzing the research data and presenting the research result
  • Develop and maintain a relationship with the external research institutes and companies
  • Responsible for training of the new member
  • Organizing all the research materials and documents into the proper place, helping the research center accurately finding the necessary materials or documents
  • Providing additional support for the other staff research outside of the main research

Education

Uppsala University

Master’s Degree — Evolutionary Biology

Universitas Gadjah Mada

Bachelor’s Degree — Biology

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