Enthusiastic and recent Master's in Computer Science graduate with a strong academic foundation and a passion for leveraging cutting-edge technology to solve real-world problems. Eager to embark on a dynamic career in the field of computer science, I bring a solid understanding of fundamental concepts, programming languages, and software development methodologies.
Worked with large-scale graphs is always a challenge because of their complexity and size. Project focuses on using adjacency matrices as a way to make these graphs easier to understand.
Introduced the use of various feature selection techniques. The first phase introduced Feature Selection via PCA and Ensemble Learning while the second section introduced Clustering Relevant Features to Feature Groups and semantic embedding.
Established a secure and efficient data management and analysis system for structured and semi-structured YouTube video data, focusing on video categories and trending metrics. Key objectives include developing robust data ingestion mechanisms from diverse sources, implementing an Extract, Transform, Load (ETL) system for raw data transformation, establishing a centralized data lake for multi-source data storage, ensuring scalability to accommodate increasing data volumes, leveraging cloud computing capabilities (specifically AWS), and creating a reporting dashboard for insightful analysis.
built a Text Classication Method based on automatic text summarization. Used Machine Learning Methods like SVMs, NLP to classify the text.Tested the built model and its accuracy.