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1.Your background? How did you end up in such an offbeat, unconventional and unique career?
TJ received his Bachelor of Technology degree in Computer Science and Engineering from GITAM University, India in 2012. He had multiple job offers in India but instead decided to pursue his graduate studies, as he was passionate about research. In 2013, TJ graduated with a Master of Science degree in Computer Science from the University of Louisville JB Speed School. His thesis topic was titled “The GC3 Framework: Grid Density Based Clustering for Classification of Streaming Data with Concept Drift”, which he completed under the guidance of Dr. Mehmed Kantardzic. TJ began his PhD studies under Dr. Kantardzic in 2013 and they been working in the Data Mining Lab ever since. Over the past two summers, 2015 and 2016, TJ has had the opportunity of interning at Google which has been a valuable learning experience.
I became interested in data mining and predictive analytics through research in my undergrad studies. I wanted to pursue my interest further and as such applied to the University of Louisville, which not only had a graduate level certificate in Data Mining but also had multiple faculty members working actively in this area. The Data Mining Lab, and especially Dr. Kantardzic’s work in this domain, was a motivating factor in my decision process.
I am working in the area of Dynamic Streaming Data Mining, where data can keep changing constantly so the models need to adapt over time. This general area was introduced to me when I first arrived at UofL and I found the problem challenging and interesting. I am developing models for machines to be aware of their own limitations and ask for limited human assistance, over time, to provide continuous prediction. Recently, I also started applying these models to the area of cybersecurity systems and found promising results towards safer machine learning.
I am teaching computers a valuable life lesson: times change, and they need to keep up.
I worked on Swarm Optimization techniques as part of my undergrad research and was fascinated by how we could incorporate behavior of ants and birds to make better predictive machines. I wanted to explore this area more and found that we have barely scratched the surface when it comes to data mining research. I wanted to contribute my bit to the development of this field.
Data science as a discipline has immense potential. However, its usefulness is often shrouded by the hype/buzz that it receives. I believe that this degree is teaching me discipline and perseverance, which is crucial to making a principled contribution to this field.
I want to be an expert data scientist, who can derive intuition and develop models over a variety of data at a global scale. I want to be able to use data mining to solve social problems and create a better living for everyone around the world.
I am most proud of being able to make progress in my PhD studies. Even at times when it would have been easy just to give up, continually looking for inspiration and staying motivated is definitely something I am thankful for.
UofL has a vibrant and welcoming community of awesome people, which has made the entire experience wonderful. Go Cards!!
As an international graduate student, it is challenging to start from scratch: socially, academically and professionally. It is important to develop a support group at school, at home and also of peers across the globe. This takes time and effort, but looking back I feel that it is an important part of the experience and is essential for doing well graduate school.
My parents and my sister (Ankita) live in Visakhapatnam, India. My extended family members live in Chicago; my cousins (Angad and Jia) are always fun to hang out with (as you can see from the picture). I am thankful for everyone’s love and encouragement, and I owe all of my achievements to the support of my family.