Some people celebrate birthdays with cake, presents, and parties. Some, like Matteo Stelluti MSBA'22, spend their time giving back to their alma mater. The Babson alumnus, now a business intelligence engineer at Amazon, recently returned to campus from Seattle to host tech talks for students aspiring to careers in analytics, help them navigate the job market, and find their way into tech. He shared advice with current students on how to make great progress. career.
“It feels like a family here,” Stelutti said at the beginning of the session. “I feel a strong connection to Babson.”
Tailored for students in the Master of Science in Business Analytics (MSBA) program and supported by the Analytics Club and Professor Mahdi Majbouli, Stelluti's talk will provide job search tips, tricks, and resources, as well as information about the technology industry employment landscape. Insights were also featured. His perspective on Amazon. He shared insights into the changes he has witnessed, what roles are growing, and how rapidly the industry is evolving since he joined the company in 2023.
From his perspective, there are some important things to focus on to increase your chances of securing your dream job in the technology field.
Adopt AI
One of the biggest changes Sterutti has noticed in the industry is the proliferation of artificial intelligence. Technology giants like Amazon, Apple, Google, and Microsoft are racing to the top, aiming to develop the most advanced, competitive, and coveted AI technologies on the market. As a result, employees at these companies have a lot to learn in this area and a lot to take in right away.
“By 2024,[AI's]business impact will grow,” Stelluti said. As a result, “companies are investing in it.”
This has resulted in a significant rise in demand across industries for AI-based roles such as prompt engineers, which is the process of directing generative AI solutions to produce desired outputs.
He said the need for upskilling and reskilling will become increasingly common even for employees in industries outside of technology, and knowing how to use AI tools to create solutions and efficiencies will become the norm.
Stelluti gave examples of how AI tools can help make code more efficient and automate many of the mundane tasks that business analytics professionals must perform. His insights helped students gain a deeper understanding of how AI can be used in their day-to-day professional lives and how deep an understanding of AI is required.
master the technique
But before they can bring AI into their daily lives, students need to become masters of the technology. Stelluti emphasized the importance of deep knowledge of your field, whether that be data science, data engineering or product management, regardless of which AI tools you use to support or streamline your work.
Mr. Stelluti's specialty is understanding data in detail. This is something he learned in Babson's Storytelling and Communication with Data course, an elective within his MSBA program.
“This lesson is [at Babson]As Professor (Nathaniel) Karst said, the focus is on the level of detail in the data. Data can be defined at different granularities, but you can't do anything with it unless you first understand the granularity. ”
These words inform all the data allocations Stelluti directs at Amazon, and serve as a reminder of just how important the human role is in navigating AI in technology.
“I think understanding data and translating business reports into data solutions will continue to be the most important skill, because I don't see AI technology being able to do that in the near future,” Stellutti said.
Showcase your skills and build your network
All of your expertise and accomplishments only have an impact if you share them with others. Stelluti's final advice is to showcase the skills you have through as many mediums as possible and to not only participate but also get involved in as many relevant networks and communities as possible.
For colleagues in the technology and data analytics fields, he cited examples such as levels.fyi, O*NET Online and Blind as top places to gain insights and make connections, and cited platforms such as GitHub and Kaggle as areas to build and showcase a portfolio.
“Just be proactive,” Stellutti says. “Be someone who is active in your field outside of academia.”
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