I am a computer science graduate student at the University Of Missouri Kansas City. I am a passionate Data Scientist with strong background in math and data mining algorithms.
I have worked on projects around predicting users preferences using machine learning and visual signal processing , analyzing tweets around specific hastags using big data frameworks such as Hadoop and PySpark . I also have experience in web development Travel Explorer, which is designed to be an itinerary planner for people who go to a new city using MEAN stack.
Prior to joining master's program, I worked for 3 years as Senior Software Developer at Kony India Pvt Ltd. I also enjoy developing applications for Windows Phone 8/8.1, tablet, Desktop/Kiosk and for Windows 10 Universal Platform using Visual Studio and Kony IDE.
Courses:- Introduction to Statistical Learning, Priciples of Bigdata , Big Data Applications, Design Analysis and Algorithms, Advanced Software Engineering
Collected tweets focusing on Cricket using twitter streaming API. Developed and Implemented 10 analytical
queries to explore the data using Spark SQL. Visualization of the results using Zeppelin tool and with the
help of Matplotlib.
Tools and Technologies used: Python, Spark SQL, Hadoop, Zeppelin
Worked on Data Mining Algorithm i.e. Support Vector machine and Extraction of features like HOG, LBP, GIST, COLOR on images.
The outputs obtained from the algorithms, Behavioral patterns are derived from which we can arrive to a
conclusion about what kind of images a user likes.
Results can be used in several applications which provide optimized search results of images to user.
Tools and Technologies used: Python, Matlab, SVM
Developed a Website having a robust algorithm which will come up with a proper travel plan based on the
shortest path that is within budget , interest and duration of by user.
Technologies used: Mongo DB, AngularJS, NodeJS, AJAX, jQuery, HTML5, CSS3, Git.
Developed a mash up application which includes features like searching food items in Walmart, and shows
the top 7 Recipes of the searched food item.
Technologies used: Angular JS, AJAX, HTML5, CSS3, Git.