Support Specialist with extensive experience at NIQ, successfully resolving over 2,000 incidents while maintaining 98% SLA compliance. Expertise in SQL and incident management, with a strong focus on problem-solving and mentoring. Proven ability to implement process improvements that boost team efficiency and enhance client satisfaction.
Available upon request.
Music Recommendation System, Developed a hybrid music recommender using content-based and collaborative filtering models in Python. Credit Card Fraud Detection, Built a neural network model to detect fraudulent credit card transactions using deep learning techniques. Registration Form Web App, Designed a full-stack registration system using React for frontend and Firebase for backend integration.
Python, C, SQL, HTML, CSS, React, Angular (Beginner), ServiceNow, Datadog, Jira, Jupyter Notebook, Spyder, Azure (Fundamentals), Machine Learning (Intermediate)