Graduate Student at Texas A&M University with deep passion and experience in Machine Learning, Data Science and Software Development; seeking full time opportunities
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Experience
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.
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Projects
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.