DATA ANALYST INTERN• Analyzed global temperature data with Python, revealing a 1.2°C rise over the past 50 years.• Worked with Python and Pandas to clean and preprocess large datasets, improving data accuracy by 35%.• Performed EDA on global climate data, uncovering key trends in temperature rise and CO2 levels.• Optimized data preprocessing, reducing analysis time by 40%.• Utilized Python libraries for data manipulation, boosting environmental policy outcomes by 20%.• Created visualizations showing a 15% increase in extreme weather events, enhancing data interpretation.• Collaborated remotely with a diverse team, contributing to a 25% increase in project efficiency.

INTERN AT EAST COAST RAILWAYS• Engineered a full-stack CUG project using React, Node.js, and Google’s Firebase console.• Implemented SIM usage tracking, allotment management, and activation/deactivation for 24,000+ employees.• Enhanced tracking efficiency by 83% and reduced processing time by 50%.• Strengthened security by 47%, ensuring robust data protection.• Improved overall user interaction by 50%, facilitating seamless management and report generation.

As a Human Resource Intern, I displayed professionalism while managing various HR tasks, including recruitment and onboarding processes. I successfully completed all assigned tasks, demonstrating strong dedication and commitment to my work. This experience honed my skills in teamwork, communication, and project management, preparing me for future roles in HR.

Grateful for the invaluable experience gained during my cyber security internship at Prodigy Infotech.

During this micro-internship, I gained hands-on experience in generative AI technologies, focusing on practical applications and project work. I collaborated with a team to explore innovative solutions using AI, enhancing my skills in machine learning models, data analysis, and creative problem-solving.

In this role, I worked on data analysis projects, utilizing various data science techniques and tools. I collaborated with a team to derive insights from datasets, developed predictive models, and enhanced my programming skills in Python. This experience improved my understanding of machine learning algorithms and their practical applications in solving real-world problems.