Data Analytics Consulting Centre

The Data Analytics Consulting Centre (DACC) at NUS Faculty of Science delivers data-driven solutions for business, research, and public sector challenges. We combine academic expertise with industry experience to transform data into actionable insights.

Consulting

DACC provides end-to-end solutions in:

Data Engineering & Architecture

Artificial Intelligence & Machine Learning

Natural Language Processing

Data Governance & Compliance

Data Pipeline Development

Advanced Analytics & Optimisation

Industry Partnerships

We bridge academia and industry through collaborative projects and student internship programs. Our partners gain access to multidisciplinary expertise across NUS, fostering innovation and knowledge transfer between academic research and practical applications.

Training and Development

DACC offers specialised training in:

Data Analytics

Data Engineering Best Practices

AI/ML Model Development

Natural Language Processing

Data Governance Frameworks

Custom corporate training programs.

Student Development

Students gain practical industry exposure through internships, real-world projects, and professional networking opportunities. This hands-on experience prepares them for careers in data science while providing organisations access to emerging talent.

Consultation

DACC offers a complimentary initial consultation to discuss your organisation’s data challenges. Our team can help identify opportunities and develop tailored solutions for your specific needs.

Please contact dacc@nus.edu.sg for more information.

Markus Kirchberg
Director, Data Analytics Consulting Centre
Associate Professor

Dr. Markus Kirchberg brings over two decades of experience in research, technology-driven innovation, and the end-to-end productionisation of data-driven solutions. His career spans academia, industrial research, and incubation labs (including A*STAR, HP Labs, and Visa Labs APAC) as well as a decade in the startup ecosystem as a founder, founding member, and tech lead. Markus’s expertise covers the full innovation lifecycle, from ideation to production, with deep technical strengths in cloud computing, multi-petabyte-scale data management, data privacy, large-scale analytics, and machine learning. He has led impactful initiatives across aerospace, FinTech, healthcare, logistics, RegTech, SupTech, and trade finance, translating cutting-edge research into scalable, real-world solutions. At DACC, Markus plays a key role in advancing the centre’s mission to bridge academic excellence with industry application through applied data science and AI.

Core Team

Viktoria Zlomanova

Data Scientist

Viktoria brings extensive experience in data science to DACC. Her expertise spans the full data science stack, from infrastructure development to advanced analytics. Her experience combines hands-on data engineering with sophisticated data science applications, enabling end-to-end solution development for complex analytical challenges.

Her technical portfolio includes:

Design and implementation of cloud-based data systems
Development of machine learning pipelines and ETL processes
Natural Language Processing and Large Language Models
Geospatial analysis and visualisation
API development and system integration

Academic Network

While DACC operates independently, we can facilitate connections with NUS’s extensive network of academic expertise when projects require specialised knowledge. This includes potential consultation with faculty members across mathematics, statistics, data science, physics, and other relevant departments, enhancing our ability to tackle complex challenges through collaborative solutions.

Student Engagement

DACC actively involves both undergraduate and graduate students in real-world data science projects, offering valuable industry exposure and practical experience.

For Organisations

DACC facilitates student internship programs, connecting organisations with talented students in data engineering and data science. These programs provide:

Access to emerging talent
Fresh perspectives on technical challenges
Support for data infrastructure and AI projects
Pipeline for future recruitment

Organisations interested in our student internship program can contact DACC for more information about hosting student interns or collaborating on student projects.

Contact DACC to learn more about collaboration opportunities or to discuss your organisation’s data science needs. Please contact dacc@nus.edu.sg for more information.

Enterprise Data Infrastructure Transformation

We are working with a major organisation to implement comprehensive data infrastructure and advanced analytics capabilities. The project encompasses data engineering, data science implementation, and strategic alignment of business objectives with data infrastructure. Key focuses include centralising analytics operations, establishing robust data governance, and enhancing executive decision-making through predictive analytics.

Start-up Analytics Framework

We are collaborating with a growing company to develop comprehensive KPIs, performance metrics, and predictive models. The project culminates in a predictive insights dashboard to drive business decisions.

Internal Systems Development

We are developing a full-stack expense claims application for the NUS Department of Statistics and Data Science using WASP, Django and React, which demonstrates our technical capabilities in modern application development.

Selected Past Projects

AI-Powered Insurance Analytics

Engineered an advanced ML pipeline for real-time risk assessment in auto insurance. The system processes diverse data streams including customer profiles, historical claims, and policy information to generate instant risk evaluations, leading to more accurate pricing and reduced fraud exposure.

Healthcare Solutions

Predictive Healthcare Analytics

Developed and deployed machine learning models for early risk detection in neonatal care settings. The AI system processes real-time vital signs and clinical indicators to predict potential complications, enabling proactive intervention protocols.

Clinical Data Infrastructure

Designed and implemented a scalable data architecture for managing complex clinical trial data. The system handles multi-source medical data integration while ensuring HIPAA compliance and data governance standards.

Natural Language Processing for Hospitality

Engineered an NLP-driven analytics platform that processes customer feedback across multiple channels. The system performs:

Real-time sentiment analysis of customer reviews

Automated categorisation of service-related issues

Trend identification for operational improvements

Environmental Data Engineering

Architected a comprehensive data pipeline for maritime emissions monitoring:

Real-time processing of vessel telemetry data

Integration with environmental sensors and weather data

Automated reporting system for regulatory compliance

ML-based predictive maintenance and optimisation

The platform supports environmental compliance while providing actionable insights for operational efficiency.

Contact us to discuss how DACC can support your organisation’s data engineering and AI needs.

Customised Solutions for Your Organisation

The Data Analytics Consulting Centre (DACC) at NUS partners with industry leaders and public sector organisations to deliver high-impact training solutions. Our programs combine academic rigor with practical industry applications, empowering your teams with the skills needed in today’s data-driven landscape.

Customised Training Solutions

We work closely with organisations to:

Align training with your specific business objectives

Integrate your data environment and use cases

Develop tailored learning paths

Provide post-training support and resources

Current Course Portfolio

Data Analytics Foundations

From Data to Insights

Transform raw data into actionable insights through this hands-on introduction to Python and analytics. Participants work with real-world datasets to build practical skills in:

Python programming fundamentals

Data manipulation and analysis

Problem-solving with data

Basic visualisation techniques

Perfect for: Professionals beginning their data journey or transitioning to data-focused roles

Data Analysis & Visualisation

Mastering the Data Toolkit

Take your data skills to the next level with this comprehensive course covering:

Advanced data manipulation with Pandas

Statistical analysis techniques

Dynamic visualisations

Introduction to machine learning concepts

Ideal for: Data practitioners ready to expand their technical capabilities

Applied Data Science with Python

End-to-End Solution Training

Bridge theory and practice through industry-relevant projects focusing on:

Advanced Python programming

ETL pipeline development

Machine learning applications

Interactive dashboards and visualisation

Real-world case studies

Designed for: Professionals seeking to master the complete data science workflow

Looking Ahead

Our course portfolio continuously evolves to meet industry needs. Upcoming additions will cover emerging areas such as:

Data Engineering & Architecture

AI/ML Operations

Natural Language Processing

Data Governance

Cloud Analytics Platforms

Corporate Training Solutions

Organisations can choose to customise any of our courses to address specific business challenges or data environments. DACC has successfully delivered tailored training programs across various industries and public sector organisations.

Please contact dacc@nus.edu.sg for more information.

The DACC offers a comprehensive suite of advisory and consulting services for businesses.

Consulting

We help businesses with the following:

Acquire, grow and retain customers
Automate data cleaning and data preparation processes
Create new business models
Create new and innovative products and services
Enhance revenue generation
Manage risk
Optimise operations and performance
Reduce fraud
Transform business and financial processes

We create industry-leading software applications and decision support systems. We also offer statistical training programmes for credit risk modelling, churn reduction, fraud analytics, revenue growth, data cleaning and preparation, customer analytics, product analytics and business data analytics related to R, Python and SPSS.

We work with industry partners to facilitate adoption of leading-edge data-driven solutions that address business challenges. Our programmes also provide students exposure to real-world data-driven problems.

Partnership

Our partnership initiatives seek to achieve the following:

Train a pipeline of talent: Our students can undertake internships with a wide spectrum of our corporate partners, from small and medium enterprises to multinational corporations. Our Data Science and Analytics undergraduates can also participate in the cooperative education programme, which combines academic studies with on-the-job learning through internships. This relates theory to real-world issues, which enhances students’ employability after graduation.

Solve data-driven business problems: Our industry engagement events and workshops help our clients to seize the opportunity for business transformation with data analytics. Through the DACC, businesses can also tap on the multidisciplinary expertise of our professors.

Exchange knowledge: Our Industry Sharing Series features speakers from leading organisations, like SAP, Google and Nielsen, to name a few, who share on workplace challenges and practical business applications. This complements students’ classroom knowledge and prepares them for data science-related careers in diverse industries. In turn, our industry partners enjoy early access to a pool of talented students, and opportunities to network with our data scientists.

The DACC engages key stakeholders to raise awareness of opportunities in the fast-growing data science sector.

Outreach

Through data science talks and short training courses, we hope to raise awareness of the exciting new career and business opportunities from Singapore’s Smart Nation vision. We will also engage educators and other key stakeholders to develop educational and outreach programmes as part of long-term efforts to create a new generation of data scientists.

Recent outreach events include the following:

• Department engagement events
• Internet of Things (IoT) Datathon
• Data Science and Analytics Day