• Designed and implemented customized CRM solution, to align with business processes and enhance user experience.• Developed and maintained clean, scalable, and efficient code for CRM system customizations using JavaScript.• Led end-to end deployment process for CRM packages, including customization, configuration, and integration tasks.• Provided post-deployment support, addressing issues, and optimizing configurations based on user feedback.• Created and maintained technical documentation, including code documentation and system architecture.• Managed deployment schedules, ensuring timely releases and minimal disruption to ongoing business operations.

The media prediction model is developed to analyze and predict trends, patterns, and user behaviors in the media industry.• Employee advance machine learning algorithms, including Content-Based filtering and neural network to analyze user behavior and predict media preferences.• Collected and preprocessed large-scale datasets, incorporating diverse feature such as user interactions, content metadata and temporal patterns.• Achieved 10% improvement in prediction accuracy compared to baseline models, resulting in a more personalized and engaging user experience.• Integrated the prediction model into the platform’s recommendation engine, contributing to a 20% increase in user engagement metrics.