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Madhuri Gupta

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Born and raised near Delhi, Madhuri graduated with distinction from Netaji Subhas Institute of Technology (NSIT), University of Delhi with major in Instrumentation and Control Engineering in 2010. She was awarded a merit scholarship for all four years of her undergrad for securing the departmental rank 2 out of 120 students. She further enriched her undergrad experience through internships in a wide range of settings spanning: academia (IIT Delhi), technology (HCL Technologies) and engineering (Bharat Heavy Electrical Ltd. (BHEL)).

After graduation, Madhuri joined BHEL (an Indian government-owned power engineering and manufacturing company) as a Design Engineer. Here she leveraged her quantitative skills to analyze signal databases, her engineering skills to design control systems and her interpersonal skills to communicate engineering solutions to clients. While exploring data-driven approaches, she realized how powerful data can be in solving business problems as well as its extraordinary breadth to spur innovation and creativity. Armed with this vision, she continued to gain more perspective and hands-on experience in analytics by completing a 10-course Data Science Specialization (with distinction) offered by John Hopkins University through Coursera. As a part of this curriculum she designed the "Next Word Predictor" app (an 8-week Capstone project) where she used text analytics and machine learning techniques on unstructured data (from blogs, Twitter, and news feeds).

Inspired by these experiences, Madhuri is eagerly looking forward to an exhaustive treatment of the subject through the MSiA program at Northwestern and aims to gain a deeper understanding of evolving requirements of the industry. Her objective is to devise data-driven, cost-effective ways and to provide optimized practical solutions for a range of business problems. Madhuri says, "We take decisions everyday based on facts and data available using our judgment and intuition then why not empower ourselves further and make those decisions in a more robust manner." Going forward she believes that "growth scarcity" will catalyze the next secular trend in data analytics where efficient markets and the need for data analytics will fuel each other.