Validating one’s experience through the Master of Artificial Intelligence

Validating one’s experience through the Master of Artificial Intelligence

In the ever-evolving tech landscape, self-starters like Dieu Chi Nguyen exemplify the drive to continuously learn and adapt. Transitioning from finance to AI, Chi's journey highlights the transformative power of education in advancing one's career and expertise.

It takes a certain type of person to be a self-starter. Common traits include having the passion and curiosity for learning, being goal-oriented and disciplined. Dieu Chi Nguyen is just this type of person.

In 2015 Chi stepped out of a bachelor’s degree in finance and economics to work for PwC as an Advisory Associate, but within 2 short years, she developed an interest in AI and Data Science, realising the potential each had to revolutionise the process in obtaining business insights.

“Over the past 8 years I have been self-researching and learning to grow and work within these tech fields,” Chi proudly states. “In 2017 I had a friend who was taking a certificate in Data Science and Machine Learning, and I piggy-backed alongside them in that course – I even did some of the assignments for them!”

In today’s competitive workplace landscape, degrees do a lot of talking, so for Chi, who admits that she had already independently touched upon much of Master of Artificial Intelligence's topics, she transitioned from taking an MBA to the tech master’s degree at RMIT because “earning a degree is a way to validate my experience and help me to progress further in my career. The program will help me consolidate, organise and formalise the knowledge I have been gathering over the years in a more structured and standard way.”

Nguyen Thi Dieu Chi, MAI student Nguyen Thi Dieu Chi, MAI student

Chi currently works for Masterise Homes as a Data Manager. Her role entails developing and maintaining data platforms and business modelling, including data architecture and warehousing, data tracking and reporting and driving innovation towards data science.

Due to the nature of her work, which requires frequent engagement with diverse data sources from across different industries, departments and companies in order to analyse strategic perspectives tailored to their unique needs, attending classes has also honed her soft skills. “I have gained greater confidence in communication, presentation, and data-driven solution consulting. I am now able to share my knowledge with compelling clarity and conviction.”

There have been two courses that have been highly beneficial to Chi thus far. Data Structure and Algorithms, which she admits was the hardest course for her, opened up many new concepts for her to build optimal algorithms when creating efficient and reusable software.

The other course, Social Media and Networking Analytics, showed Chi new techniques, such as building graphs, analysing the importance of networks and graphs and how to apply both to big data and information sets.  “In learning these techniques,” Chi notes, “I was able to extract the main points of information I needed, which in turn gave me new tools to build models right away when I needed to analyse my work.”

These techniques came in handy when Chi opted for the research stream in her 2nd year of the program. She was supervised by Dr. Minh Dinh and her thesis was on how to build optimal software in order to summarise online customer reviews. She states that the software would “help numerous different businesses draw actionable recommendations for product or service improvement.”

Although a new mom, Chi remains deeply forward thinking for her career. She is still deciding whether to dive deeper into technical skills, in order to become a highly experienced data science specialist or take to on a broader role, such as becoming a data leader, like a Chief Information Officer or Chief Data Officer. Either way, she credits the Master of Artificial Intelligence as a key step for her to develop further in the field. 

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