Hi there! 👋 I'm Trinadh.I'm a motivated Computer Science graduate at the University of Alabama at Birmingham, with a strong focus on data analytics and Machine Learning.I have experience working as a Data Analyst Intern where I monitored key performance metrics, created reports, and designed dashboards to evaluate product performance. During my internship, I utilized tools like Excel, Python, SQL and PowerBI to analyze data, identify trends, and implement predictive models, which improved operational efficiency by 20% and reduced loan default rates by 8%. My efforts also led to a 15% improvement in lending decisions by providing actionable insights and optimizing data processes.In my academic career, I've worked on multiple projects including Speech Emotion Recognition, where I developed a CNN model that recognized emotions with 66.2% accuracy, and the School Health Tracker Android app, where I designed the front-end using Flutter and implemented a secure back-end using Google Firebase for efficient health record management.I have a strong foundation in data visualization and analysis, having developed Power BI dashboards to track KPIs and business metrics like customer satisfaction and sales trends. I also applied statistical tools to optimize data processes, enabling more accurate data-driven decision-making.I’m proficient in technologies like Excel, Python, Power BI, and Tableau, and continuously strive to develop solutions that drive data-driven innovation. I’m always eager to learn, adapt, and collaborate with cross-functional teams to optimize and implement improvements. Additionally, I am actively learning Machine Learning to further enhance my ability to work with data and develop AI-driven solutions.I’ve served as an Executive Member of the Computer Science and Engineering Committee, collaborating with peers to organize events that helped 500+ students improve their technical skills.