• Analysed and resolved client and internal tickets by providing feasible technical solutions through root cause analysis (RCA). • Successfully monitored and resolved product issues within the agreed Service Level Agreement (SLA) timeline of less than 1 hour, resulting in 0% system downtime during peak hours.• Provide 24/7 on-call support for customers, either by resolving their issues or by escalating them to the appropriate team.• Assist with product installation and… Show more • Analysed and resolved client and internal tickets by providing feasible technical solutions through root cause analysis (RCA). • Successfully monitored and resolved product issues within the agreed Service Level Agreement (SLA) timeline of less than 1 hour, resulting in 0% system downtime during peak hours.• Provide 24/7 on-call support for customers, either by resolving their issues or by escalating them to the appropriate team.• Assist with product installation and configuration via on-call and chat.• Create and maintain FAQs and troubleshooting guides.Collect user feedback for product enhancements.• Used tools such as anydesk and teamviwer to troubleshoot issues directly on client devices.• Provide education sessions to enhance user understanding.• Forward complex issues to higher-level support or development Show less

I gained hands-on experience in data analysis through three key company-level projects. At Atliq Hospitality, I analyzed customer data to optimize marketing strategies, providing actionable insights that improved decision-making and targeted marketing efforts. This work led to enhanced engagement and business growth.In a separate project, I performed an in-depth analysis of Amazon sales data, focusing on customer behavior and performance metrics. This analysis revealed valuable insights… Show more I gained hands-on experience in data analysis through three key company-level projects. At Atliq Hospitality, I analyzed customer data to optimize marketing strategies, providing actionable insights that improved decision-making and targeted marketing efforts. This work led to enhanced engagement and business growth.In a separate project, I performed an in-depth analysis of Amazon sales data, focusing on customer behavior and performance metrics. This analysis revealed valuable insights that helped refine sales strategies and drive growth, enhancing overall performance.Additionally, I developed a predictive model for heart disease diagnosis. Using data science techniques, I built a model that predicts the risk of heart disease, showcasing my ability to apply advanced analytics in healthcare. This project demonstrated my skill in creating practical solutions for real-world problems.These projects highlight my proficiency in data analysis, including data cleaning, manipulation, and visualization. I utilized tools such as SQL, Python, and Excel to deliver insights that support strategic decision-making and drive improvements in both business and healthcare contexts. Show less