Lokesh Sai Ram Nakkella

Highly analytical Data Analyst with expertise in SQL, Python, Tableau, and Power BI, delivering data-driven insights to optimize decision-making and operational performance. Skilled in developing scalable solutions, ensuring data accuracy, and streamlining workflows to enhance efficiency. Recognized for collaboration, strategic thinking, and translating complex data into actionable business outcomes.

Smart Laundry System

• Built a responsive web application using HTML5 and CSS3, ensuring cross-platform compatibility and enhanced user experience.
• Implemented dynamic functionality with JavaScript, improving user interaction by 25% through features like real-time status updates and customizable settings.
• Developed the backend with Django, enabling efficient data processing and storage while ensuring scalability for future enhancements.
• Deployed the application using VS Code, optimizing performance for real-time data processing and user analytics.
• Conducted rigorous testing to validate functionality, achieving a 98% success rate in detecting and processing user inputs for laundry operations.

Web IT for CIGNA, USA

• Monitored application performance using KPIs such as response time and failure thresholds, achieving a 20% reduction in response time incidents by leveraging tools like Tealeaf, Dynatrace, and Splunk.
• Created and maintained comprehensive Knowledge Repositories and Standard Operating Procedures (SOPs), improving issue resolution efficiency by 30% through standardized documentation of best practices.
• Managed P1/P2 incidents, collaborating with the Operations Command Centre (OCC) for immediate investigations, and worked with the Enterprise Service Health Dashboard (ESHD) team to adjust KPI thresholds, leading to a 15% improvement in service health metrics.

YOLO Object Detection with OpenCV and Python

• Configured and integrated the YOLO model by loading pre-trained weights and configuration files, achieving 95% accuracy in object detection tasks.
• Set up OpenCV to handle image and video input, developing code to process images and video frames for seamless object detection, resulting in a 20% improvement in processing efficiency.
• Conducted performance testing and optimization to ensure real-time detection, fine-tuning model parameters and processing settings to enhance accuracy and reduce detection latency by 30%.

• Google Data Analytics
• Data Analysis and Visualization with Power BI
• Career Essentials in Data Analysis by Microsoft and Linkedin