RAJIYABEE SHAIK
+(91-781*******, Kunkalamarru, Andhra Pradesh, India
*****************@*****.*** www.linkedin.com/in/ rajiyabee-shaik-bb8915237
OBJECTIVE
Motivated and detail-oriented recent graduate with a foundation in computer science and programming principles.
Seeking an entry-level software position to leverage skills in coding, problem-solving, and teamwork. Eager to contribute
to innovative projects and develop technical expertise in a dynamic IT environment.
EDUCATION
Bachelor of Computer Science
St.Ann’s College of Engineering And Technology, CGPA:8.17 2020 - 2024
Intermmediate
Vignana Bharathi, CGPA:9.71 2018 - 2020
SSC
Z.P.H School, CGPA:9.2 2018
SKILLS
• Technical : Python, Oracle, Java, HTML, CSS, JavaScript, React.js
• Soft : Time Management, Problem-Solving, Verbal and Communication Proficiency
EXPERIENCE
Web Developer Intern
Internshala Sep 2023 - Dec 2023
• Developed a web page for ”PG Life” with a focus on user experience and responsive design using HTML, CSS, and
JavaScript.
• Collaborated with team members to brainstorm and implement features, enhancing project quality.
• Conducted testing and debugging for performance optimization. .
PROJECTS
Blood Cell Type Detection Using Deep Learning
• Led a team to develop a convolutional neural network (CNN) for classifying blood cell types from images.
• Implemented data preprocessing and augmentation to enhance model performance.
• Analyzed and presented findings to faculty, demonstrating medical diagnostic applications.
Mobile Price Classification
• Developed a classification model to estimate mobile phone prices using machine learning algorithms like
regression.
• Preprocessed a dataset containing features such as brand and specifications, achieving 96
• Presented insights on e-commerce and market analysis applications.
EXTRA-CURRICULAR ACTIVITIES
• 2nd Prize in a College Quiz Competition (Technical Knowledge).
• Completed NPTEL course ” The Joy of Computing using Python” with 81
• Won 1st prize in Kho-Kho and Kabaddi in college.
LEADERSHIP
Project Leader - Blood Cells Type Detection Using Deep Learning
• Led a team of 5 members, managing project timelines and ensuring milestone completion.
• Conducted research and algorithm development to improve blood cell classification accuracy.