Pranav Rane

Background

My interest in computer science began in 2020, when I took a gap year after high school due to the impact of Covid. During this time, in addition to research, I completed online courses in C++ and machine learning. Since then, I have pursued a range of courses, from scientific computing to quantum computing, which have provided me with a strong theoretical foundation and practical experience in implementation.

Over the past four years, I have worked with various programming languages and environments, including Python, Matlab, C, and C++. Additionally, I have substantial experience with Git for version control and collaboration.

Projects

Dementia classification using a convolutional neural network

The implementation of a CNN to analyze MRI scans of the brain.

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Characterization of ion-induced damage using instance segmentation.

I will be giving a talk at the Sandia Machine Learning Conference in September 2024 regarding state-of-the-art instance segmentation to characterize radiation damage.

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Neural network and segmentation lesson

Some slides I put together to explain concepts of machine learning to Georgia Tech faculty members and graduate students. These slides will be adapted for use in an upper-level computational physics course at Georgia Tech.

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Analysis of Airport Centrality and Domestic Flight Costs

Using a graph data structure to perform analysis of airport traffic and optimization of travel.

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Uncovering the relation between expenditures and winning percentage in major league baseball

Querying, visualization, and analysis using SQL, standardization, and linear regression.

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