About

Welcome to rounok.com!

I graduated from the University of Texas at Dallas, Jindal School of Management, with a M.S. in Financial Technology and Analytics in December 2020. I also have a B.S. degree in Electrical Engineering from the University of Texas at Austin. I have worked at Capital One as a Data Engineer and at 7 Eleven as a Loss Prevention Specialist. I have always enjoyed science and problem solving. More specifically I enjoy playing with data, inferring trends, and organizing it effectively to extract deeper insights.

To view / download Rounok's resume, please click here.

Projects

Feature Engineering: Energy Usage Predcitor In this project, a model is developed using Light Gradient Boosting Method (LGBM) for predicting energy consumption of commercial buildings given the buildings' characteristics and local weather information. A massive dataset, provided by the American Society of Heating and Air-Conditioning Engineers (ASHRAE) consisting of over 40 million meter readings is used to build the model. The Python programming language is used. Extensive use is made of pandas, numpy, and scipy. Several novel features are introduced, allowing very accurate predictions.

Machine Learning: Credit Risk Modeling In this project, comparative models are developed using several machine learning algorithms such as Xgboost, LGBM, and Tensorflow for predicting likelihood of credit default based on customers' payment history, demographic, social, and other factors.

Data Visualization: OmniViz aims to be a general all-purpose data visualization and analysis tool. Written in Python and leveraging the tkinter and matplotlib libraries, OmniViz organizes data in an intelligent human logical manner. An adapted version of this software, ModViz, is being used at Texas Instruments for circuit simulation data analysis and vizualization. A prototype web version, OmniWeb for analysis and vizualization of stock data has been developed; I plan to enhance this incrementally.

For a look at my other projects, click on the Portfolio tab at the top of this page