A founder and leader of Digital Labs Data Engineering, Prasoon helps clients in the pharmaceuticals and medical products and retail industries, and in the marketing-and-sales and operations functions to unlock the full potential of the analytic models built by McKinsey's client teams and Analytics Practice. He operationalizes these models in his clients' IT environment to capture value by aggregating fragmented data, scaling the models, and building user-friendly decision-making tools.
At a large distribution company, Prasoon developed a sourcing tool that led to savings of $200 million a year in procurement costs. This optimization solution was built on enterprise-grade tools including Java, Solver, Python, and SQL.
When a large consumer company asked McKinsey to analyze hundreds of millions of customer transactions from retail stores, Prasoon helped create the client's first Internet-scale (three-petabyte) data mart on a large Hadoop cluster. Identifying a 2 percent incremental sales opportunity across priority customers and business segments enabled immediate at-scale value capture, and an integrated Hadoop platform was created for ongoing use.
Prasoon architected the data-analytics technology—including a data lake—at a large global company for a fraction of the cost the client had planned to spend. Mobilizing the client to pursue a digital strategy resulted in 200 percent growth in the core business and the launch of multiple waves of automation and big data projects. Prasoon also developed a pricing system for a leading telco to allocate $1 billion in promotions spend—a solution that saved the client $200 million.
Happiest when experimenting with technology or on a cricket field, Prasoon has a personal goal to bring more women into technology and data science. He is a board member at Carlson School of Management, University of Minnesota.