Projects

Machine Learning Projects / Implementations:

• Review of Machine Learning Methods for Human Face Recognition in Images. Link to Github page.
• Review of Question Answering in Natural Language Processing. Link to Github page.

Parallel Computing:

• Scaling up Stochastic Gradient Descent using Data Parallelism: Application to Horse racing prediction using Machine Learning. Coded in parallel using C language with MPI. Link to Github page.

Information Visualization:

• Did we save our tigers?: Explainer article for visualizing tiger population data in India and and the changes in population over the past two decades. Implemented as a webpage with visualizations created using Plotly in python. Link to Github page and the code repository.

Numerical Analysis:

• Solving the 2D Poisson problem numerically. Coded in MATLAB. Link to Github page.
• Solving the 2D Poisson problem numerically (same problem as done in MATLAB). Now coded in Python3. Link to Github page.
• Reduced order modeling using Proper Orthogonal Decomposition (aka Principal Component Analysis). Application to linear elasto-dynamics problems: Wave equation and Bi-material rod. Solved numerically using meshfree method. Link to Github page.
• Level Set Based Image Segmentation. Coded in MATLAB. Link to Github page.