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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

Hermes Paving Stones and Concrete Ltd

- Utilizing social media analytics tools to monitor and analyze key performance metrics, such as reach, engagement, and conversion rates, to optimize marketing strategies.

- Conducting data-driven audience research to identify target demographics and consumer behaviors, enabling personalized content creation and targeted campaigns.

- Implementing A/B testing methodologies to compare ad creatives, copy variations, and targeting options, refining social media campaigns based on data-driven insights.

- Collaborating with data analysts and marketing teams to integrate social media data with other marketing sources, gaining a comprehensive view of campaign effectiveness and overall ROI.

- Utilizing data insights to optimize ad spend allocation across social media platforms, ensuring maximum return on investment and reaching the most relevant audiences.

- Employing social media listening tools to monitor brand sentiment and customer feedback, providing valuable insights for brand reputation management and customer satisfaction improvement.

- Leveraging data-driven insights to develop data visualization reports and presentations for stakeholders, effectively communicating the impact of social media marketing efforts.

- Identifying emerging social media trends and opportunities through data analysis, enabling the development of innovative and impactful marketing strategies.

- Applying data analytics to track the performance of influencer marketing collaborations, evaluating their impact on brand awareness and engagement.

- Staying updated on the latest social media analytics tools and methodologies to stay at the forefront of data-driven marketing practices and continuously improve campaign performance.

As a Data-focused Social Media Marketing Executive, I combine my expertise in social media marketing with data-driven insights to drive exceptional results and success in marketing campaigns.

Social Media Marketing Excecutive

Sangtech Technology

-Implementing data visualization components on web applications.
-Collaborating with backend developers to integrate data APIs.
-Optimizing web page loading times and performance for large datasets.
-Designing and developing data-driven dashboards and reports.
-Ensuring data security and privacy on the frontend.
-Implementing data validation and error handling on web forms.
-Utilizing front-end frameworks for dynamic data visualizations.
-Collaborating with data analysts and data scientists.
-Conducting testing and debugging of frontend components.

Frontend Web Developer

Bincom Dev Center 

- Assist in data gathering and preparation for IT projects, ensuring accurate and comprehensive data sets are available for analysis and decision-making.

- Generate and maintain project documentation, including data specifications, data flow diagrams, and data dictionaries.

- Assist in conducting data analysis and generating reports to support project planning and progress tracking.

- Provide administrative support in scheduling meetings, organizing project-related documents, and managing project timelines.

- Participate in cross-functional meetings to gather requirements and ensure data-related needs are addressed in project planning.

- Contribute to process improvement initiatives by suggesting data-driven solutions and streamlining data-related workflows.

- Stay updated with data-related industry trends and best practices, enhancing skills and knowledge to support the success of IT projects.

IT Project / Admin Assistant

Skillfield Associates Services

-Conducted data analysis to identify trends, patterns, and insights to support business decision-making.
-Collaborated with stakeholders to gather data requirements and define key performance indicators (KPIs).
-Performed data validation and ensuring data accuracy and integrity for reliable analysis.
-Utilize data visualization tools to create insightful reports and dashboards for data-driven presentations.
-Interpreting data findings and translating them into actionable business recommendations.
Conducting data modeling and forecasting to assist in strategic planning and resource allocation.
-Identifying opportunities for process improvement through data analysis and suggesting data-driven solutions.
-Supporting data-driven projects, such as data migrations, system implementations, and process optimizations.
-Conducting market research and competitive analysis to gain insights into industry trends and data benchmarks.
-Staying updated on data-related technologies and best practices to enhance analytical skills.

Business Analyst

Olumuyiwa basiru & Co

- Perform data collection, data cleansing, and data validation to ensure data accuracy and integrity.
- Analyze and interpret complex datasets to extract valuable insights and trends for informed decision-making.
- Develop and maintain data models and databases for efficient storage and retrieval of information.
- Collaborate with cross-functional teams to identify business requirements and translate them into actionable data analysis solutions.
- Create and maintain reports, dashboards, and visualizations to communicate data-driven findings to stakeholders.
- Conduct data mining and data profiling to discover patterns, correlations, and opportunities for process optimization.
- Implement data quality measures and data governance best practices to enhance data reliability and consistency.
- Collaborate with IT teams to troubleshoot data-related issues and optimize data integration processes.
- Stay updated with industry trends and emerging technologies in data analysis to drive continuous improvement in data management practices.
- Support the development of data-driven strategies and contribute to the company's overall data-driven culture.

Information Technology - Data Analyst

Quench Hunger

As a detail-oriented Data Entry Specialist, I excel at accurately inputting and managing data with precision and confidentiality. My proficiency in data processing tools enables me to maintain high-quality standards while meeting tight deadlines. Dedicated to streamlining procedures and optimizing efficiency in data management.

Data Entry Clerk

Trace Media

Design and Implemented Core Web based, e-commerce websites.

As a dedicated Data Professional, my passion lies in crafting impactful Dashboards, Reports, and Data Models that drive positive business outcomes and enhance services for consumers. With expertise as a Data and Business Intelligence Analyst, I adeptly map requirements, translating them into forward-thinking models and performance insights, ensuring seamless communication with stakeholders.

Drawing from my Data Science experience, I excel in conducting advanced analyses on large datasets, implementing automation and transformation processes that align perfectly with my skill set. My proficiency in Python, SQL, Excel, Power BI, Project Management, Graphic Design, and Digital Marketing further enhances my ability to deliver comprehensive solutions and drive success in data-driven endeavors.

taplio

The Battle

Cornellius Yudha Wijaya

Kiko Israel

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