Detail-oriented and enthusiastic Cybersecurity and IT professional with strong knowledge of operating systems (Windows, Linux, UNIX), networking protocols (TCP/IP, OSI layers), and security practices. Skilled in identifying and mitigating threats, managing access controls, and understanding threat exposure. Strong communication and interpersonal abilities with a willingness to learn and adapt to evolving security technologies. Familiar with scripting and automation using Python and PowerShell to enhance threat detection and response efficiency.
Cybersecurity & Analytics Intern
Summary
Gained exposure to security best practices, data privacy, and access management in enterprise systems. Assisted in documenting security processes and analyzing data for security insights. Developed basic scripts to automate repetitive tasks, improving efficiency.
Intern
Select, English, India
Summary
Worked on data analysis and reporting, providing insights for decision-making. Applied visualization tools like Power BI and Excel to analyze data trends. Strengthened problem-solving and communication skills in a team-based environment.
Data Science Intern
Summary
Developed a project on predicting supermarket sales using Python. Applied data cleaning, manipulation, and visualization techniques with Pandas, Numpy, Matplotlib, and Seaborn. Enhanced knowledge of data-driven decision-making and security implications of data handling.
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Bachelor
Computer Applications
Threat Detection & Response, Identity & Access Management, Threat Exposure Management.
TCP/IP, OSI layers, network protocols, network security.
Windows, Linux, UNIX.
Python, PowerShell, Java (beginner).
Power BI, MS Excel, SQL (for data handling & reporting).
Security controls, access management, data protection, vulnerability analysis.
Strong communication, problem-solving, adaptability, teamwork.
Summary
Built predictive models using Python libraries (Pandas, NumPy, Scikit-learn) to forecast supermarket sales. Achieved ~20% improvement in sales forecasting accuracy, enabling better inventory planning and demand prediction, reducing overstocking risks.
Summary
Designed and developed interactive dashboards to analyze sales, customer ratings, outlet performance, and product visibility. Delivered 15% improvement in sales insights accuracy by identifying top-performing outlets, seasonal sales trends, and low-visibility products, supporting data-driven business strategy.