As a Graduate Research Assistant here at the ExecEd’s Data Science team, I’ve been working on building the predictive model and recommendation system to improve conversions from inquiries to enrollments. I also manage the blog and social media posts for RoL Lab at ExecEd. This is a great place to learn and experience hands-on implementation of advanced statistical methods using real world data.

I am passionate about building products and processes that continuously leverage the power of data to better themselves. Most tech product development today is focused on user experience & optimizing the use of software architecture while completely overlooking the insights that could be generated from user data. I want to build products that generate and act upon these insights leading to potential avenues of revenue growth or increased user satisfaction.

The biggest challenge that I face in data analytics is figuring out the quality of data and identifying the key parameters that need to be included in the model. Especially, when you have data pouring in from various sources, it is important to make sure that certain parameters do not get over-represented. Often times, a good understanding of the business/operations process that generates the data set helps in tackling this problem.