Abhishek kowkoori

Hardworking and passionate job seeker with strong organizational skills eager to secure entry-level software developer or web developer position. Ready to help team achieve company goals. Organized and dependable candidate successful at managing multiple priorities with a positive attitude. Willingness to take on added responsibilities to meet team goals. Detail-oriented team player with strong organizational skills. Ability to handle multiple projects simultaneously with a high degree of accuracy. To seek and maintain full-time position that offers professional challenges utilizing interpersonal skills, excellent time management and problem-solving skills.

Network engineer at AT&T

PROJECTS

" APPLICATION RESEARCH OF TEXT CLASSIFICATION BASED ON RANDOM FOREST ALGORITHM"

Our objective of this project is to improve efficiency of text classification, text is one of the important source of information, but extracting meaning from it is hard and time consuming. So, in this project to extract the text more efficiently used key techniques such as tr-k based text feature extraction and used BERT for vectorization to achieve better results. In this project I expanded my skills with techniques of machine learning and deep learning.

“CYBER THREAT DETECTION BASED ON ARTIFICIAL NEURAL NETWORKS USING EVENT PROFILES”

In this project we present an AI technique for cyber threats detection, based on artificial neural networks. In this work we developed an AI-SIEM system based on a combination of event profiling for data preprocessing and different artificial neural network methods, including FCNN,CNN and LSTM. The system focuses on discriminating between true positive and false positive alerts, thus helping security analysts to rapidly respond to cyber threats