Hyndavi Karabathula

Analytical and detail-oriented Business Analyst with a solid background in computer science and management information systems. Expertise in data analysis and process improvement, driving significant business outcomes through technology integration. Adept at delivering actionable insights and collaborating with cross-functional teams to address complex challenges. Committed to contributing to a forward-thinking organization focused on innovation and efficiency.

Certificate of Internship in Azure Cloud Computing, Verzeo

Detecting Mental Disorders in Social Media through Emotional Patterns, Utilized Java and SQL to develop computational models analyzing emotional patterns in social media content. Designed algorithms for early detection of mental health issues, providing actionable insights to promote mental wellness. Detection of Cardiovascular Diseases in ECG Images using Deep Learning Methods, Applied deep learning techniques to analyze ECG images for early diagnosis of cardiovascular diseases. Built robust neural networks, enhancing diagnostic accuracy and supporting timely medical interventions.