MTech IS Alumnus Mr Prerak Agarwal

Prerak Agarwal, a graduate of the NUS-ISS Master of Technology in Intelligent Systems (MTech IS), shares his career progression from Firemark Collective to Dyson. He emphasises how the MTech IS programme honed his AI and intelligent systems expertise, propelling his success in the field. Prerak offers valuable insights for aspiring students, highlighting the importance of clear objectives and embracing the learning process.

1. Where did you work before enrolling in the NUS-ISS Master of Technology in Intelligent Systems (MTech IS) programme, and what was your role?

Prior to admission to the NUS-ISS MTech programme, I was working as a Data Scientist at Firemark Collective – innovation lab and venture capital arm of Insurance Australia Group (IAG), the largest general insurer in the ANZ region. In my role as a data scientist within the InsurTech sector, I worked on multiple innovative projects focused on alleviating customer pain points in Australia’s dynamic insurance market.

2. What prompted you to decide to enrol in the program?"

The decision to enrol in the NUS-ISS MTech programme was inspired by my ambition to grow professionally. While working as a data scientist, I realised that in order to chart my long-term career path and to establish myself as a professional in the field of data science and AI, I had to acquire a deeper understanding of intelligent systems concepts, AI/ML techniques and methods. The NUS-ISS MTech programme stood out as an ideal choice for me as it offered an industry-focused curriculum that helped me bridge the gap between my existing knowledge and the advanced skills required to lead the development of intelligent systems in the industry. I believe the programme’s offerings align really well with the current and future demands of the industry.

3. Describe your NUS-ISS experience.

For me, the most enjoyable aspects of the course were the group projects we worked on each semester. These collaborative projects not only allowed me to apply the concepts we learnt in class in a practical setting, but also created learning opportunities where I could exchange ideas with my diverse and talented course-mates. The hands-on experience gained through these projects significantly enhanced my problem-solving skills, and provided a real-world perspective on the application of AI techniques.

4. Which company did you work at for your Capstone Project?

For our capstone project, my groupmates and I worked with my previous company, IAG Firemark Collective. Our project aimed to explore the use of IoT devices within the context of residential and commercial property insurance, with a focus on risk prevention, fraud detection and business optimisation through the deployment of intelligent IoT systems. We worked in close collaboration with the business stakeholders within IAG. After extensive rounds of discussions, we conducted specific experiments by setting up IoT devices around the office premises. The deployment of IoT devices enabled us to gather useful real-world data which we then utilised to develop and implement specific AI models. The results of these experiments provided valuable insights to IAG on how IoT devices can be employed to mitigate risks, prevent fraud, and, potentially in the longer-term, optimise business operations within the insurance industry.

5. What were some of the key challenges you faced during your studies and how did you overcome them?

Juggling part-time studies with a full-time workload was the biggest challenge I faced especially during the peak periods with overlapping projects, deadlines, and at the same time having to prepare for exams. In order to navigate these challenges, I had to meticulously prioritise my workload to ensure effective time management. Whenever possible, I would also pro-actively discuss the semester's anticipated workload with my manager and team so as to establish an understanding and arrangement for my work commitments. I’m also fortunate enough to have supportive coursemates and colleagues whom I could rely on and share some of the responsibilities with. All these steps ultimately helped me overcome the demanding aspects of juggling both work and academic commitments.

6. What was your biggest takeaway or achievement from the MTech IS programme?

My biggest takeaway from the MTech IS programme is the ability to envision complex AI systems in a more comprehensive manner. The application-based and industry-oriented curriculum provided me with the skills to think about intelligent solutions holistically from a systems level, and beyond just the technical aspects. Besides learning about the various cutting-edge AI concepts, tools and techniques, the programme developed my ability to think strategically and systemically, allowing me to design and build holistic AI solutions for intricate problems.

7. Tell us more about your current job.

I recently started a new role as a Senior Data Scientist in the Global Connectivity team for Dyson. In this new role, I work within a cross-functional team to design innovative and scalable data solutions that helps to connect Dyson’s products with their users through more personalised interactions and experiences.

8. How has the programme helped you in your current role?

The MTech IS programme has contributed significantly to my capability to succeed in my current role. The diverse group projects that I undertook through the semesters enhanced my confidence in leading teams for AI solution development, and I have been able to demonstrate that confidence in my work projects. I have also been able to directly apply some of the tools and techniques learnt in class to my work projects, thereby sharpening my technical proficiency.

9. How has pursuing a postgraduate programme helped to boost your career, or expand your career options?

Completing the MTech IS programme has had a direct impact on propelling my career forward. Upon graduation, I successfully managed a job transition and attained my current position as a Senior Data Scientist at Dyson. The MTech IS programme's comprehensive curriculum and hands-on experience have not only enabled me to distinguish myself in a competitive job market, but also bolstered my credibility as a seasoned professional in this field.

10. Is there any advice you would like to offer potential students seeking a graduate programme?

First and foremost, it is important to set a clear objective. Whether you opt to enrol on a part-time or full-time basis, having a a clear objective for yourself before beginning the course will definitely help you stay motivated during the inevitable demanding periods with multiple commitments and clashing deadlines. Aside from that, embrace the learning journey – be it from lecture notes or from people around you. If you are looking for a programme that focuses more on strategically solving real-world business problems through AI solutions, the MTech in Intelligent Systems programme may be a good choice for you.


We wish Prerak all the best in his future endeavours!

Find out more about the NUS-ISS Master of Technology in Artificial Intelligence Systems Programme (formerly known as Master of Technology in Intelligent Systems Programme).

Interested in a flexible study option? Learn more about the NUS-ISS Stackable Graduate Certficate Programme in Artificial Intelligence which stacks up towards the Master of Technology in Artificial Intelligence Systems degree.