Software Development Web

Career Objective

As an enthusiastic and deeply motivated Master of Computer Applications (MCA) graduate, I possess a robust understanding of computer science principles and programming. I am keen to translate my academic expertise and technical proficiency into tangible contributions within software development endeavors. A rapid absorber of new concepts, I harbor a fervent interest in technology and prioritize ongoing self-enhancement. Experience

Intern –Hoch Tech Solutions, Mysore, India.

05/2023 – 06/2023

Description:

• During my internship in Full Stack Web Development, I learned a lot about HTML, CSS, Bootstrap, JavaScript, MySQL, and PHP.

• I got hands-on experience using these tools to build websites. This internship gave me a strong understanding of how to use basic web technologies effectively.

• Now, I can create visually appealing and user-friendly web applications.

• I believe the skills I gained will help me succeed in my future career in web development.

Education

• NIE - National Institute of Engineering, (Master of Computer Application).

-11/2023 (7.5)

• Shri H. R Ramulu Memorial College, Gangavathi, (Bachelors of Computer Application).

-07/2021 (9.0)

• KSEEB – Sri Vidyaniketan PU College Gangavathi, (PUC).

-05/2018 (7.3)

• KSEEB – Little Hearts School Gangavathi, (High School).

-10/2016 (7.6)

Technical Skills Interpersonal Skills

• Programming Language: JAVA, SQL,

Python.

• Organized

• Good in Communication

Tool: VS Code, IDEA

• Web Technologies: HTML5, CSS3

• Tools : MS-Word, MS-Power Point

Reenu Patil

3rd cross Idga colony Gangavathi, India – 583227

(M) +91-959******* (E) **********@*****.***

Activities and Honor

• Cleared NPTEL Distributed Systems Test

Academic Project

• Project: ”Underwater Image Enhancement and Object Detection”

• Role: Deep Learning Engineer

• Description: In this project, our aim was to tackle the significant challenges posed by underwater environments, particularly concerning image quality and object detection. Underwater scenes often suffer from poor visibility due to factors such as light attenuation, scattering, and color distortion. To address these issues, we employed advanced techniques, notably Generative Adversarial Networks (GANs), which are powerful tools in the realm of image processing.

• Generative Adversarial Networks (GANs) to enhance visual clarity despite challenges like light attenuation and colour distortion. Created automated tools for object detection underwater, addressing the limitations of optical images affected by water conditions. Languages Known

Kannada, English, Hindi

Declaration

I solemnly declare that the information furnished above is true to the best of my knowledge.

Reenu Patil

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