agile scrum,python,mysql,cloud computing,html,css

Vanya Sree Ala

Andhra Pradesh, Kurnool, ******, 910*******, **************@*****.***

CAREER OBJECTIVE:

Aspiring to work for an organization which would provide me an opportunity to utilize and develop my skillsalong with organizational vision. TECHNICAL

SKILLS

python,

HTML,

CSS,

SQL,

Cloudcomputing,

c,

Agile Scrum.

Links

LinkedIn :

Education

Undergraduate in computer science, Jul 2020 - May 2024 GITAM Deemed university, Hyderabad, TS

Grade:7.76

Intermediate, Jul 2018 - Mar 2020

Narayana junior college, kurnool,AP

Grade:8.86%

Secondary SCHOOL OF EDUCATION, Mar 2018

Cattamanchi Ramalinga Reddy Residential High School Grade:9.2%

Internship

www.linkedin.com/in/vanyasree-

ala-1a7a90290:

www.linkedin.com.

AWS Academy Cloud Foundations and Architecting

AICTE

Led a multifaceted project encompassing static and dynamic website creation, database linking, VPC creation,and public access control within the AWS ecosystem.Implemented advanced features including elasticity forscalability, automation for efficient resource management, and disaster planning for resilience.Demonstratedexpertise in leveraging AWS services to design, deploy, and manage cloud-based infrastructures.Successfullydelivered a comprehensive solution, showcasing proficiency in cloud architecture principles and bestpractices.Contributed to the team's success through effective collaboration, problem-solving, and projectmanagement skills.

PROJECTS

Image Plagiarism Detection

Developed an advanced system for detecting plagiarism in images using cutting-edge image processingalgorithms and machine learning techniques. Implemented a robust framework capable of analyzing large datasets efficiently, contributing to the preservation of intellectual property rights in digitalcontent.Collaborated closely with team members to refine and optimize the detection system, ensuring highaccuracy and reliability in identifying image plagiarism. Parkinson’s Disease Detection Using Optimized Feature Selection Led a project utilizing deep transfer learning to detect Parkinson’s disease using Kaggle datasets featuringSPIRAL and WAVES drawings. Employed various models including ResNet50, VGG19, InceptionV3, andXception, combined with KNN, RF, SVM, and Decision Tree classifiers, as well as an ensemblemethod.Achieved enhanced accuracy through optimized feature selection.Collaborated with team membersto implement and evaluate models, contributing to advancements in early PD detection techniques. Courses

Python for Data Analysis: Pandas & NumPy

coursera

Introduction toWebDevelopment

coursera

SOFT SKILLS

Quick learner, Good communication skills, Leadership,Self-motivated,Team work Hobbies

cooking,Traveling and exploring new places.

Contact this candidate