I love to code and currently pursuing Masters in Information Technology from IIIT Allahabad, Prayagraj, India
Basic knowledge of Data Structures and Algorithms.
Well versed with OOP concepts like Inheritance, Abstraction, Encapculation and Polymorphism.
Job scheduling algorithms, Process Synchronization, Memory Management, Deadlocks and File Management.
ER Model, Normalisation, MySql, Joins , Indexing , Transactions.
My favorite languages for systems programming, software engineering, and data analysis.
My favorite tools for version control, code editing, and container orchestration.
This project involves two parallel and one serial implementation of LU decomposition with row pivoting to factor a dense N x N matrix into an upper-triangular and a lower-triangular matrix. The main goal was to use parallel computing methods like Open-MP and p-thread to shorten the algorithm’s execution time for huge matrices like an 8000 X 8000 matrix.
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Created a classifierfor classifying toxic comment under six categories namely toxic,severe toxic, obscene, threat, insult, identity hate. • Sourced datasets from kaggle . • Used appropriate python libraries fro data cleaning and preprocessing and evaluation models. • Model used Logistic Regression, k-nearest neighbors ,Bernoulli Naive Bayes,Multinomial Naive Baye.s • analyzed comparative study of all models on F1 score
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Created a model for automatic speech recognition with the help of machine leaning and natural language processing. Sourced Data set from google consist of 6 category of commands: up, down, go, stop, left, right. Implemented CNN model on the frequency graphs of these speeches and analysed the result with the help of F1 score.
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