YALLA SWAPNA

[email protected] • +91 9121561231 • Vizianagaram, AP
LinkedIn: https://www.linkedin.com/in/swapna-yalla

PROFESSIONAL SUMMARY

I am a technology enthusiast currently pursuing a Bachelor's degree in Computer Science & Engineering. With a strong foundation in programming and machine learning, I have developed skills in Python and various frameworks. My hands-on experience includes internships where I enhanced my technical capabilities in full stack development and software engineering. I'm dedicated to leveraging my skills to create impactful tech solutions

WORK EXPERIENCE

Intern
04/2025 - 06/2025
Council for Skills and Competencies (CSE) India
• Completed Python Software Development internship at the Council for Skills and Competencies (CSE) India through on-campus selection
• Gained hands-on experience with diverse Python-based software tools, enhancing technical proficiency and expanding my skill set
• Collaborated with teams to analyze problems and develop effective solutions
• Strengthened understanding of real-world applications of Python in education and training systems
• Applied academic concepts directly to industry-relevant scenarios, gaining valuable exposure to professional workflows

EDUCATION

Bachelor of Technology in Computer Science & Engineering
09/2022 - 04/2026
Avanthi Institute of Engineering & Technology (AVEV) , Cherukupally, Vizianagaram Dist, AP
Board of Intermediate Education
06/2020 - 03/2022
Sri Balaji junior college , Bheemasingi, Vizianagaram Dist, AP
AP Board of Secondary Education
09/2019 - 04/2020
ZP High School , Jami, Vizianagaram Dist, AP

SKILLS

PROJECTS

Sentiment Analysis on Restaurant Reviews
Technologies: Machine Learning, Text Processing, TF-IDF, Naïve Bayes, Logistic Regression
• A project focused on utilizing machine learning techniques to classify sentiments in restaurant reviews
• Designed and implemented a machine learning pipeline to classify restaurant reviews
• Performed text processing including tokenization, stopword removal, and stemming
• Extracted features using TF-IDF and trained models such as Naïve Bayes and Logistic Regression
• Evaluated model performance using accuracy, precision, recall, and confusion matrix

CERTIFICATIONS

Software (Python)
Andhra Pradesh Council of Higher Education
Artificial Intelligence and Machine Learning
Andhra Pradesh Council of Higher Education
Full Stack using Python
Git Institute of Advanced technologies

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