For Nupur, AI brings data to life and opens many new opportunities to improve and act

Can you share the most interesting part of your career journey?
Not just one part, but I believe the entire journey has been quite interesting. I have had experiences with different people across industries, solving numerous business problems which were unique in their way.

If I have to mention one, then this would be the most interesting part of my career journey, since this has helped me see things through a different lens altogether.

“Until a few years back, I worked with global clients who had interesting ways of data storing methods and were familiar with analytics on a high level. About two years back, I moved from a delivery-based model to a client-facing model, where I received more exposure to working with Indian clients. During those years, I felt being on a roller-coaster ride, where I was leading AI initiatives, explaining analytical insights and the course of action directly to the audience, such as CIOs and CFOs, and being able to really see the “impact that matters” in their business.”

What excites you most about working with data and AI?
Since my school days, my favourite subjects were Mathematics and Statistics as they involved numbers and algorithms. So, it was very clear to me what I wanted to pursue in the next phase of my life. After I completed my Master’s in Statistics, it opened doors for me and let me take a leap into the world of data and AI. Finding trends hidden in data, implementing advanced AI/ML analytics to solve real business problems for clients, and creating a bridge to link analytics to the business and strategy, was like a peak into the data and AI world.

I have noticed that “AI brings data to life and opens many new opportunities to improve and act.”

Describe an interesting project that you have worked on.
There are many interesting projects that I have been part of. However, the experience I had while working for a Saudi telecom client comes to mind. The objective was to design and develop a pricing decision-making engine.
This involved handling large datasets; analysing accounts, profitability, discounts, and several other KPIs; implementing the best analytical practices on multiple use-cases to provide recommendations to improve overall business revenue; and handling margin leakages with a “sneak peek-into-future” capability to run different simulations on what may happen along with optimal price recommendations.

This project led to the digitisation of data by removing reports that were developed manually in excel spreadsheets, with no availability of a single source of truth. Results then were backed by data and evidence rather than gut feeling. With our analytical models in place, the client could see the performance of all accounts, sell better with guided prices, drive higher margins, and reduce costs.