- Pioneered advanced Sentiment Analysis initiatives with a specific focus on ensuring data relevancy.- Developed and implemented robust models utilizing natural language processing techniques to accurately assess sentiment from diverse textual data sources.- Applied a meticulous approach to enhance data quality and relevance, refining algorithms for more contextually accurate results.- Translated nuanced findings into actionable insights, empowering stakeholders to make informed decisions based on precise sentiment analysis.- Collaborated with cross-functional teams to integrate sentiment analysis and data relevancy into business strategies, ultimately improving customer experience and brand perception.- Proficient in utilizing Python for NLP tasks and committed to exploring innovative approaches to continually refine sentiment analysis methodologies.

Extensive hands-on experience with .NET, .NET Core, C#, Docker, PostgreSQL, Swagger, Web API, REST API, Microservices, Clean Architecture, and real-time project work.Built robust and scalable backend solutions using the .NET framework and its latest iteration, .NET Core, showcasing proficiency in C# for crafting efficient and high-performance code.Containerized applications using Docker, ensuring seamless deployment across diverse environments.Leveraged PostgreSQL for effective database design and optimization, contributing to streamlined data management.Developed well-documented APIs with Swagger, employing Web API and REST API to create RESTful services facilitating smooth client-server communication.Engaged in microservices architecture, breaking down monolithic applications into smaller, independent services, offering insights into building scalable and resilient systems.Designed codebases adhering to the principles of Clean Architecture, fostering modular and maintainable solutions with a focus on separation of concerns and high code quality.Actively contributed to a real-time project, gaining practical experience in handling dynamic and interactive applications, collaborating with a diverse team.Internship experience was both enriching and rewarding, receiving a stipend as recognition for exceeding performance expectations.

Spearheaded the development of user interfaces for a dynamic React-based admin web application, contributing to an enhanced user experience through intuitive and responsive designs.Played a pivotal role in leveraging Node.js and Express.js to craft robust REST APIs for a Learning Management System (LMS) web application, facilitating smooth and efficient data flow.Collaborated with cross-functional teams to ensure seamless integration of frontend and backend components, fostering a cohesive and well-functioning web application.Gained hands-on experience in troubleshooting and debugging, addressing issues promptly to maintain optimal system performance.Actively participated in agile development methodologies, including sprint planning and daily stand-up meetings, contributing to an agile and adaptive work environment.

Intern Front-End Developer :- 1.Implementing User-Interfaces: Expertise in turning design concepts into reality by leveraging HTML, CSS, Bootstrap, and JavaScript to create visually appealing and functional user interfaces.2.Maintaining and Changing Website Interface: Proven ability to maintain website functionality through bug fixes and updates. Adaptable to change, with a focus on continuously improving website interfaces based on user feedback and business requirements.