Computer Science Undergraduate passionate about leveraging data, computational power, and reliable security practices to build technological solutions at scale to solve challenging problems. "More data beats clever algorithms, but better data beats more data" -- Peter Norving.I am interested in not only finding hidden patterns and insights from the raw messy data but also love to use these insights to build predictive models that help the business make strategic decisions, improve customer experience and increase revenue.Skills:✔ Programming Languages: Python, R, Java, C++, HTML, JavaScript ✔ Web Technology/Database: HTML5, CSS3, JavaScript✔ ML Libraries: NumPy, pandas, Matplotlib, Seaborn, Scikit-Learn✔ Deep Learning frameworks: TensorFlow✔ Machine Learning Techniques: Decision Trees, kNN, Support Vector Machines, Logistic Regression✔ Proficient in Algorithms & Data Structures, object-oriented design, problem-solving, complexity analysis and debugging✔ Ability to work in an agile/scrum environment✔ Descriptive Statistics and Inferential Statistics✔ System and Unit Testing✔ Software Engineering✔ OS: Kali Linux, Windows, Ubuntu✔ Cybersecurity proficiencies: Network security, Risk assessment, Risk Management, Penetration Testing, Ethical Hacking, Vulnerability scanning- I am eager to learn more about the fields of Cyber Security, Machine Learning, SWE, and Full Stack Development.- I am currently looking for internships/research in the aforementioned areas as I continue my degree at NC State.