Developed strong organizational and communication skills in
collaborative and fast-paced environment. Proven ability to manage multiple tasks, meet deadlines, and contribute to team objectives. Seeking to transition into new field, utilizing transferrable skills to drive success in diverse professional settings.
PROFESSIONAL SUMMARY
EDUCATION SUMMARY
CONTACT
B.Tech
DR.YSR ARCHITECTURE AND FINE ARTS UNIVERSITY
Digital Techniques for Design and Planning
CGPA - 9.0
2021 - 2025
**************@*****.***
kadapa
S.Sneha sai priya
entry level
SKILLS
C programming
Python programming
AI and machine learning
Web Scraping
Power BI
SQL
Cybersecurity
Female
HOBBIES
Reading Books
Listening Music
Traveling
Class XII
SRI GAYATRI JUNIOR COLLEGE
MPC
PERCENTAGE - 70%
Class X
SRI CHAITANYA TECHNO CURRICULUM
GPA - 9.2
2019 - 2021
2018 - 2019
19-12-2001
LANGUAGES
English
Telugu
Hindi
CERTIFICATIONS
Aptitude And Reasoning
Operating System
Paper Presentation/oral Presentation On IOT
Mobile App Development - Android App Development
Python Developer
Community Service Project
Artificial Intelligence Training Completion
Artificial Intelligence And Machine Learning
Web Security For Enterprises (Pratical Training) - Part 1 Getting Started With Kali Linux Penetration Testing Vulnerability Management Detection And Response (VMDR) Endpoint Detection and Response (EDR)
Realtime project training on Learn to hack a AndroidOS Relational Database Basics
CEH12 Trained
WORK HISTORY
Intern
Null Class
Bengaluru, India (Remote)
Currently working with Null Class on the project Learn to Hack a Real-Time Android OS, focusing on cybersecurity. The work involves identifying and exploiting vulnerabilities in Android systems, understanding OS internals, and applying ethical hacking techniques to test and strengthen mobile security. JULY 2025
Intern
Rivan Solutions
Hyderabad, India (Remote)
Intern
Embrizon Technologies
Bengaluru, India (Remote)
MAY 2024 - MAY 2025
JULY 2024 - OCT 2024
PROJECT COMPLETION
PAACDA Comprehensive Data Corruption Detection Algorithm Artificial Intelligence And Machine Learning Internship Completion Predictive maintainance for industrial equipment
Contributed to a positive team environment by collaborating with fellow interns on group projects and presentations.
It begins by identifying the target site and ensuring that scraping is permitted through its file.
Using tools like BeautifulSoup or selenium, a request is sent to access the webpage content.
The HTML structure is then parsed to isolate relevant information using selectors like CSS or XPath.
The extracted data is stored in formats such as CSV or JSON for further use. Finally, the scraped data often requires cleaning and processing to ensure its quality and usability.
During my internship in artificial intelligence, I developed machine learning models to analyze large datasets, enhancing my programming and data analysis skills. I collaborated on a project that improved predictive accuracy by 15%, gaining valuable experience in model evaluation and optimization. This role also deepened my understanding of AI ethics and best practices in deploying intelligent systems.
I hereby declare that above mentioned particulars are true to my knowledge and belief