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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

tiket.com

Working alongside Data Scientist and Machine Learning Engineer in providing AI solutions

Associate Data Scientist

Legit Group

● Created web scraping algorithm to scrape public social media data from TikTok and Instagram for social media analytics.
● Developed customer smart retention engine using various machine learning algorithms which includes campaign, voucher and push notification recommendation; resulted in recommendation that matches with customer’s transaction pattern.

Data Scientist

PACMANN

•	Conducted mentoring 1 to 2 sessions about Experimental Design and A/B Test per week in duration of 60 to 90 minutes 
•	Guided class group for 7 days per week for 3 hours each day

Teaching Assistant

かっこ株式会社

• Conducted customer churn analysis on fraud detection service provided by Cacco for various Japanese companies,
• Designed various machine learning models such as linear models, tree models, and ensemble models in predicting next period customer churn which achieve 90% accuracy.

Telkom Direktorat Digital Business

•	Conducted digital twin experiments by generating 3D environment from photos/videos of indoor/outdoor scenes using State of the Art (SotA) machine learning models in python
•	Implemented SotA machine learning models in image/video inpainting for object removal and image style transformation using python

•	Designed python algorithm for scrapping information regarding items sold in Bukalapak and Tokopedia websites,
•	Collected information regarding items sold in Bukalapak and Tokopedia websites using the algorithm

Data Scrapper

id/x partners

•	Participated in online courses regarding basic SQL, python and machine learning implementation
•	Utilized Python to create comprehensive analysis of credit card fraud dataset and credit risk modelling using supervised machine learning models such as decision tree classifier
•	Designed Tableau dashboard about analysis of credit card fraud dataset

Developer Student Club ITB

Member

ATLAS ITB

Staff

Mathematical Challenge Festival (MCF) ITB 2022

Led a team of 5 to design and conduct Data Science Competition (DSC) for Mathematical Challenge Festival (MCF) Institut Teknologi Bandung (ITB) 2022

Head of Data Science Competition

My name is Andika Zidane Faturrahman, currently, I am working as data scientist at Legit Group specializing in data science and analytics.  I am also documenting my code in my github (https://github.com/Andikazidanef15) and data science projects in my medium account (https://medium.com/@kakazidane2000) containing important repository for data science and machine learning.

taplio

The Battle

Cornellius Yudha Wijaya

Andika Zidane Faturrahman

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