SIRAM VENKATA SAI THUSHARA PRIYA
New Jersey,NJ
Summary
Skilled multitasker with superior work ethic and good teamwork, problem-solving and organizational skills. Willing to take on any task to help team. Reliable and dedicated team player with hardworking and resourceful approach.
Overview
1
1
Certification
Work History
Artificial Intelligence Intern
Smartknower
04.2022 - 05.2022
- Gained practical experience in Artificial Intelligence
- Contributed to successful project completion on HAND RECOGNITION by consistently meeting deadlines and fulfilling assigned tasks promptly.
- Conducted thorough research to gather necessary data for informed decision-making within the project team.
- Developed skills in python.
Education
Bachelor of technology in computer science -
Andhra University
Master of Science in computer science -
Stevens Institute of Technology
01.2025
Skills
- SQL, Python, JAVA, C, HTML, CSS, JavaScript
- Object-Oriented Programming
- Machine Learning
- Artificial Intelligence
- Database Management System
- Mathematics and Statistics
- Operating Systems
- Data Structures and Algorithms
- MySQL, Oracle, SQL Server
- Git, Agile Methodology
Certification
- Coursera: Using Python to Access Web Data
- Programming Foundations with JavaScript, HTML and CSS
- Crash Course on Python
- Python Data Structures
- Programming for Everybody (Getting Started with Python)
Projects
Cardiovascular and Diabetes Disease Prediction Using Machine Learning, Developed a predictive model using machine learning algorithms to identify risk factors for cardiovascular disease and diabetes. Utilized datasets containing medical records and health parameters to train the model. Implemented feature engineering techniques to extract relevant features and improve model performance. Employed algorithms such as logistic regression, random forest, or support vector machines for classification tasks. Conducted cross-validation to evaluate the model's performance and ensure generalizability. Achieved high accuracy and sensitivity in predicting the onset of cardiovascular disease and diabetes. Hand Recognition using Python and Artificial Intelligence, Utilized convolutional neural network (CNN) for training and classification. Trained the model on a dataset comprising diverse hand gestures. Achieved high accuracy in real-time hand gesture recognition. Potential applications include sign language translation and gesture-based control systems. Demonstrated proficiency in Python programming and deep learning techniques. Strong understanding of computer vision concepts and neural network architectures
Timeline
Artificial Intelligence Intern
Smartknower
04.2022 - 05.2022
Bachelor of technology in computer science -
Andhra University
Master of Science in computer science -
Stevens Institute of Technology