Aspiring AI-Powered App Developer, blending software engineering with intelligence
I’m Vasanthi Sivasankar, an aspiring Software Developer with AI specialization. I have a foundation in artificial intelligence, machine learning, and a growing passion for blockchain technology. I’m currently in my third year of Computer Science and Engineering and serve as the Joint Secretary of the Machine Learning Community in my college’s tech society. I’m passionate about exploring AI-powered systems, predictive models, and next-generation web applications. With hands-on experience in data analysis and predictive modeling, I’m also eager to delve deeper into blockchain to develop secure and innovative solutions in the future.
My skills include artificial intelligence, machine learning, data science, RDBMS, web application development, and computer networks. I’ve worked on projects like designing predictive models for ICU patient outcomes, creating dashboards to analyze customer churn, and using data visualization tools to identify trends. I’m also exploring swarm intelligence.
I’ve completed certifications in Artificial Intelligence fundamentals and gained practical experience through in-plant training in the data science domain. I’m always eager to learn and grow, whether it’s through real-world projects, exploring new technologies like Docker and IBMz, or participating in ideathons and hackathons. I’m driven by my passion for innovation and problem-solving and look forward to contributing to impactful solutions through my work.
I aspire to work in the blockchain and Web3 domain, particularly in the areas of decentralized applications and smart contracts. I also aim to contribute to AI-powered projects that can have a real-world impact.
Predicts patient outcomes in ICUs using real-time data.
Analyzes churn trends using predictive modeling and data visualization.
Created a dashboard to track and improve workforce diversity.
Summarize webpage content using NLP.
Developed a model to forecast sales using machine learning.
Developed a blockchain-based command validation system using Java concepts, modular architecture, and anomaly detection techniques to securely verify and monitor drone command authenticity.
Feel free to reach out via email or connect on LinkedIn!
vasutha2007@gmail.com