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Founder

Berdata

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

Arif Analytics

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.

Lead Data Scientist (Generative AI/ LLM)

Stealth Startup

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.

AI Engineer (Generative AI/ LLM)

KDnuggets

Contributing Writer

Allianz

•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 Scientist Assistant Manager (ML / LLM/ MLOps)

- 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

Data Scientist Supervisor

Purwadhika Startup School

•	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.

Head of Data Science

Potentialpark

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

Auditor

Department of Cell and Molecular Biology, BMC, Uppsala University

•	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

Summer Research Assistant

Level up Your ML Game ❤️️| Writing a Lot | Data Mentor

🔹 I turn data into ROI for businesses by designing AI systems that solve high-impact problems—from fraud detection to customer retention. With 6+ years leading enterprise data science teams (like Allianz) and deploying LLM-powered tools, I bridge the gap between technical teams and business stakeholders.

🔹 I've written 500+ articles for platforms like KDNuggets, Machinelearningmastery, Towards Data Science, and Non-Brand Data (2M+ monthly readers), breaking down complex AI/ML concepts into actionable insights. My content isn't just theory—it's battle-tested from projects like:
✅ Propensity models that drove 150% of Allianz’s annual revenue targets
✅ Fraud detection systems reducing losses by 7-figure margins
✅ LLM chatbots with RAG that cut customer support costs by 30% 

🔹 Now, I help professionals and companies:

👉Consulting: Machine Learning Pipeline, LLM product design, and AI strategy.
👉Mentorship: Transition into data science careers via 1:1 coaching (100+ mentored since 2019).
👉Content: Partner with brands for technical articles, workshops, or whitepapers.

Let’s collaborate if you need:

📌A pragmatic AI consultant who ships code, not just slides.
📌A technical writer to simplify AI/ML for your audience.
📌A mentor to fast-track your data science career.

📩 DM me for consulting inquiries, mentorship slots, or content partnerships.

Cornellius Yudha Wijaya

Ørsted

Design, develop and maintain full stack web applications with enterprise DevSecOps and AppSec compliance.
Tech stack: 
1. Backend: FastAPI (Python)
2. Frontend: Angular (Typescript, HTML, CSS)
3. Version control: Azure DevOps, GitHub
4. CI/CD: Azure Pipelines
5. App deployment: Docker, AKS with KEDA
6. AuthN/AuthZ: Azure AD with MSAL
7. Database: Azure SQL, Azure Blob Storage
8. Confluent Kafka
9. ServiceNow

Full Stack Software Engineer

Web app development for fault diagnosis of factory equipment.
Tech stack:
1. Frontend: Vanilla JS, Vis.js
2. Backend: FastAPI (Python)
3. Database: Azure SQL
4. Deployment: Render.io

Freelance Software Developer cum Project Manager

University of Malaya

Appointed as data scientist for a funded project:
1. Exploratory data analysis of real estate sales and rental data.
2. Develop time series and machine learning models to forecast sales and rental price.

Freelance Data Scientist

Xpress.ai

Extending Xircuits, a Jupyterlab-based visual programming toolkit, to perform robotic process automation.
Tech stack: Python, rpa

Link: 
https://github.com/yuenherny/xai-rpa
https://github.com/XpressAI/xircuits

Open Source Developer

Appointed as an industrial fellow of Faculty of Computer Science and Information Technology, Universiti Malaya, for the elective course of AI for Everyone.

ELITE@UM Fellow

Freelancer

Appointed as dashboard developer for a funded project in a local university:
1. Led the development of visualisation dashboard for traffic monitoring using Streamlit and Plotly.
2. Managed the project from collecting requirements to UAT.
3. Acted as scrum master to ensure project follows the Agile methodology.

Freelance Developer

Skymind

Subsidiary company: https://www.xpress.ai/

1. Conduct AI research and experiments, develop proof-of-concepts for search and recommendation applications
2. Market research and competitor analysis for NPI (search & recommendation)
3. Scrum master
4. RPA features development for visual programming toolkit

ML Research Engineer, NLP

Subsidiary company: https://skymind.education/

Things I did:
1. Lead end to end course and content planning, development and curation:
- Data analytics with MS Excel and Power BI
- Low-code AI deployment
- Python and Java programming
2. Data/AI product/project development (planning, managing and delivery)
- Skills profiling tool
- Model performance evaluation web app
3. AI upskilling and training initiatives:
- Managed 3 national AI training and upskilling programs end to end - Deep Learning Certification for Majlis Amanah Rakyat (MARA), Ministry of Higher Education (MOHE) PENJANA (USM and UM)
- Analyzed certification results and proposed training interventions, resulting in 5-fold increase in passing rate
- Led marketing campaign to promote mass upskilling offerings, resulting in 6-fold increase in revenue
4. AI training and coaching for upskilling:
- Trained and coached 60 fresh graduates in AI (machine learning and deep learning in computer vision)
- Trained and coached public participants in data analytics (MS Excel), data science (Python) and low-code AI tool (Skymind CreatorSuite.AI)
5. Industry lecturer / panel for universities
- Co-lecturing for UM AI for Everyone
- Co-lecturing for USM Makers@USM, AI Literacy and Data Science Literacy
- Co-lecturing for UTM Deep Learning and Intelligent Vision System
- Evaluated final research project for UiTM Master's students
6. Partnership and business development for product and training:
- Lead engagements on product-related partnerships
- Managed university stakeholders related to curriculum, content and training
7. Document translation, proofreading and review:
- Translated and reviewed official letters from English to Malay and vice versa
- Translated and reviewed marketing copywriting from Mandarin to English / Malay and vice versa

Training Consultant cum Lead Trainer, AI & Data Science

Subsidiary company: https://skymind.education/

1. Curation and development of fundamental, intermediate and advanced learning content(s), assessment material(s), teaching tools and practical use cases for AI training programs and LMS as well as to produce and maintain detailed and accurate key content and project documentation.
2. Support the evolution of AI learning requirements, working with any relevant teams to ensure effective delivery of training.
3. Ensure content relevancy through regular content research/evaluation, analysis of industry best practices as well as the latest technology and industry trends and correspondingly, update the learning content and assessment material(s) as and when required.
4. Analysis of feedback and propose suggestions for improvement in order to ensure the delivery of high impact training that maximizes learner participation, comprehension and application.
5. Engage in strategic alliances and networking activities with key internal and external stakeholders that would help benefit the learning development of AI talents.
6. Maintain high standards of client service through effective communication and timely response.

Associate Training Consultant cum Trainer, AI & Data Science

GitHub

Dropping comments occasionally for helping people in various open source projects.
1. ipywidgets: https://github.com/jupyter-widgets/ipywidgets/issues/3445#issuecomment-1179754147
2. facebookresearch: https://github.com/facebookresearch/SentEval/pull/87#issuecomment-1199618367
3. dash-core-components: https://github.com/plotly/dash-core-components/issues/922#issuecomment-1221266927

Open Source Contributor

Universiti Teknologi PETRONAS

Research Project: Numerical modelling and simulation of ocean wave energy using MATLAB
1. Code development in MATLAB for validation and application of simulation method.
2. Perform continuous code optimisation and debugging.
3. Designed and developed a Windows executable-based MATLAB GUI for simulation code using MATLAB AppDesigner.
4. Take charge in technical writing and documentation for journal submission.
5. Appointed corresponding author in charged of journal article writing and submission.

Research Assistant cum Programmer

Forest City - Country Garden Pacificview

Involved in two construction projects, I performed the following responsibilities during my internship:

1. Perform daily building inspection on construction defects.
2. Keep project manager informed with daily update of construction work progress using Excel.
3. Analyse the productivity of workers using Excel to estimate work completion date.
4. Liaise with contractors on work progress and defects.
5. Coordinate workflow between sub-contractors.
6. Act as communication intermediary between manager (Chinese-speaking) and workers/contractors (Malay-speaking).

Intern - Project Management

Currently:
- Full Stack Software Engineer at Ørsted
- Master's student at Universiti Malaya
- Answering StackOverflow questions during my free time

Formerly:
- Co-lead of Team Robocon UTHM

What I am up to:
- Consulting SMEs on data science and AI
- Working on interesting data science and AI projects
- Love reading & writing about science & tech
- 3D printing and 3D modelling enthusiast on the side

Check out what I am up to (in AI, ML and data science) here: https://github.com/yuenherny

taplio

The Battle

Cornellius Yudha Wijaya

Yuen Hern YU

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