Bachelor of Technology - BTech

▪ Signal Processing: Gained proficiency in noise reduction and data filtering techniques using MATLAB; applied Fast Fourier Transforms (FFT) to analyze frequency-domain data.
▪ Data Visualization: Mastered data cleaning pipelines and complex 2D/3D plotting to interpret large-scale engineering datasets.
▪ Machine Learning & Deep Learning: Completed intensive modules on training Convolutional Neural Networks (CNNs) for image classification and regression models for predictive analysis.

Training Specialist

▪ Optimized backtracking algorithms reducing execution time by 30% for complex pathfinding constraints.
▪ Collaborated with peers using GitHub for version control, enhancing teamwork and project management skills.
▪ Strengthened problem-solving abilities by working on Data Structures & Algorithms (DSA) problems.

Software Intern

enthusiastic software student

github

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