Kochi, Kerala, India
- Specialize in end-to-end talent acquisition across technical and non-technical roles, partnering closely with business stakeholders to understand hiring needs and deliver quality talent. - Manage junior to senior-level hiring across multiple roles, verticals, and client organizations, ensuring alignment with skill, culture, and business requirements. - Strong expertise in candidate sourcing and headhunting, leveraging passive and active talent pools to close critical positions efficiently. - Proficient in using leading hiring platforms such as Naukri and LinkedIn Recruiter for talent mapping, market research, and pipeline building. - Experienced in working with global clients, supporting hiring requirements and adapting to different hiring standards and expectations. - Contribute to improving hiring turnaround time, candidate experience, and overall recruitment effectiveness.
- Completed structured training in full-stack development covering Java, Advanced Java, SQL, Microservices, Angular, HTML, and CSS. - Built backend services using Java-based microservices architecture and integrated them with relational databases. - Developed frontend components using Angular, HTML, and CSS to create responsive user interfaces. - Implemented unit testing using JUnit to validate application functionality and improve code reliability. - Successfully designed and delivered a Full-Stack Event Management System as a 3-month capstone project, handling both frontend and backend development.
- Completed a full-stack Data Science internship, gaining hands-on experience in data preprocessing, feature engineering, machine learning, and model deployment. - Books Recommendation System: Built a personalized book recommendation engine using clustering and random forests, analyzing large-scale datasets of book reviews, genres, authors, and user profiles. - Netflix Recommendation System: Developed a personalized content recommendation engine using collaborative filtering, matrix factorization, and content-based filtering on user ratings and viewing data. - Applied Python, SQL, and machine learning techniques to transform raw data into actionable insights and deploy scalable models. - Strengthened expertise in end-to-end data science workflows and recommendation system methodologies.