
Apeejay School, Mahavir Marg alumna Supriya Gera (Batch of 2016) has carved a successful career in the world of data analytics and AI. Currently working as a consultant at Deloitte, one of the Big Four consulting firms, Supriya shares her sharp insights into the future of data, the evolving role of AI, and the skills students need to thrive in the fast-paced tech landscape. In this conversation, she breaks down the world of consulting, talks about real-world tools, and offers clear advice for beginners exploring the field.
What excites you most about working in data analytics and AI?
Data is everywhere, and that’s what thrills me! Whether it’s our professional tasks or daily life decisions, data analysis plays a central role. I love how we can simplify complex problems through it. Tools like Tableau and Power BI make it easy to work even with massive datasets. I personally use Tableau a lot; it’s great for beginners and doesn’t require heavy coding knowledge.
How would you explain consulting to a student curious about your job?
Simply put, consulting is giving expert advice. Clients approach us with their data and business problems. We use data analytics tools to clean that data, derive insights, and suggest actionable solutions. It’s not just about number crunching, it’s problem-solving at scale. Each day brings a different challenge, which keeps things exciting.
How do you stay updated with the rapid pace of change in tech?
I make it a point to explore new technologies regularly. Generative AI, tools like ChatGPT, and now multi-modal AI models are game changers. These can combine text, image, and video data for better outcomes. To keep up, I explore GitHub, join courses, and remain curious. In this field, you can’t afford to stand still.
What advice would you give students interested in this field?
Start early and be curious. Learn tools like Tableau or Power BI. These are beginner-friendly and can handle everything from Excel sheets to enterprise-level data. And don’t worry if you’re not a math genius, data analytics is more about logic than hardcore math. Strong communication and networking skills are equally vital.
What are your long-term aspirations?
I want to start something of my own in the data space. There’s a real need to introduce AI and data analysis in school curriculums. It’s already shaping industries, but young students often miss out. My aim is to build a model that simplifies these concepts and makes them accessible early on.
