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Guna Anuhya PerniGP
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Guna Anuhya Perni

@perniguananuhya

Information Technology undergraduate who developed a CNN-based lung cancer prediction model and a secure data deletion system.

India
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At BLACKBUCKS, I developed a flower recognition model using machine learning concepts to classify flowers from image datasets. At OASIS INFOBYTE, I gained practical experience with web development concepts and HTML, CSS, and JavaScript.

I also developed a CNN-based lung cancer stage prediction model with image preprocessing, tumor detection, stage classification, and severity scoring. For my Data Sanitization Project, I developed a web-based deletion system with Gutmann 35-pass overwrite, OTP-based authentication, scheduled deletion, and audit tracking.

Experience

Work history, roles, and key accomplishments

OI

Web Developer

Oasis Infobyte

Jun 2025 - Jul 2025 (1 month)

Gained practical experience in web development concepts and technologies, improving knowledge of HTML, CSS, and JavaScript.

BL

Student Intern

Blackbucks

May 2025 - Jul 2025 (2 months)

Completed a short-term internship in AI/ML, developing a Flower Recognition model by applying machine learning concepts to classify flowers from image datasets.

Tech Mahindra logoTM

Student Intern

Mar 2026 - Present (7 months)

Completed an internship under the Naandi Foundation, gaining hands-on experience in Microsoft Excel and MS Office, and assisted in maintaining training-related student records.

Education

Degrees, certifications, and relevant coursework

DT

Dhanekula Institute of Engineering and Technology

Bachelor of Technology, Information Technology

2022 - 2026

Grade: 8.27 CGPA

Pursuing a Bachelor of Technology in Information Technology with a CGPA of 8.27.

SC

Sri Chaitanya Junior College

Board of Intermediate Education, MPC

2020 - 2022

Grade: 76.33%

Completed Board of Intermediate Education in the MPC group with a percentage of 76.33.

SS

Sri Chaitanya Techno School

Secondary School Certificate, General

2019 - 2020

Grade: 98.33%

Completed Secondary School Certificate with a percentage of 98.33.

Tech stack

Software and tools used professionally

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