• Developed and deployed responsive websites using React, leading to a 15% increase in user engagement and a 25% improvement in cross-browser compatibility by ensuring seamless functionality across all device types.• Optimized web performance by integrating lazy loading and code-splitting techniques, reducing page load times by 20% and improving SEO rankings for client sites.• Enhanced security and front-end/back-end interactions by implementing best practices in data validation and API communication, significantly reducing the risk of security vulnerabilities in client projects.

• Led a data analytics project to accurately forecast the COVID-19 transmission rate and saturation point in India, identifying the top 6 affected districts with over 276,804 cases. The project provided critical insights into the spread of the disease, contributing to public health decision-making.• Developed and managed a data pipeline using Hadoop, Hive, and Unix commands to process large datasets efficiently. Utilized Python for data analysis and visualization, creating bar charts to display forecasts and clusters, and implemented a dashboard using Hue to present findings to stakeholders.• Achieved a 100% project completion rate by delivering accurate forecasts within the project timeline, ensuring timely and actionable insights. The successful analysis demonstrated the effectiveness of data-driven approaches in managing pandemic response strategies.