Graduate Student at Texas A&M University with deep passion and experience in Machine Learning, Data Science and Software Development; seeking full time opportunities
Data Science Intern, CapitalOne ▪ Built ML based Fraud model using H2O GBM framework, for Small Businesses to help the population offset the payment fraud risk. The model got 4-5% better capture, and hit rates than the previous models. ▪ Worked in AWS environment to build analytical pipelines for training, testing, and validating the model. ▪ Gained expertise on data platforms such as Snowflakes and Databricks for running SQL queries and python scripts, respectively.
Breast Cancer Detection from digital mammographic images using convolutional neural network (CNN) in Fall 2018. o Automatic mass detection of malignant condition for early detection of breast cancer using digital mammography imageset
▪ B.Tech undergraduate thesis/project in the year 2013 on Image Edge Detection & Segmentation using Verilog/C code with its application in face recognition. o Achieved matching accuracy up to 90% on any real-time grayscale image; used Microsoft Visual C++ platform for Edge detection and Matlab for Segmentation.