syeda javeriya - PhD Researcher - Karnataka State Akkamahadevi Women University | Himalayas
syeda javeriyaSJ
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syeda javeriya

@syedajaveriya

Aspiring data scientist with expertise in image processing and machine learning.

India
Message

What I'm looking for

I am looking for a role that challenges me and allows for continuous learning, particularly in machine learning and image processing.

I am a dedicated researcher with a Doctor of Philosophy in Computer Science, specializing in image processing and machine learning. My academic journey has equipped me with the skills to develop innovative solutions, such as a web-based Image Forgery Detection tool utilizing Python, Django, and JavaScript. My projects have focused on leveraging advanced algorithms like SIFT and AKAZE to enhance image security and detection capabilities.

Throughout my studies, I have published several research papers, showcasing my commitment to advancing knowledge in the field. I have received accolades such as the 'Best Paper Award' at the ICETSE Conference and have been granted a Minority Fellowship for my Ph.D. studies. My technical skills encompass a wide range of programming languages and web technologies, including Python, Java, SQL, and web development frameworks, which I am eager to apply in a challenging role.

Experience

Work history, roles, and key accomplishments

KU

MPhil Researcher

Karnataka State Akkamahadevi Women University

Jan 2020 - Jan 2021 (1 year)

Researched and developed a Face Morph Detection system using Python and machine learning techniques. Implemented various classifiers for effective detection.

Education

Degrees, certifications, and relevant coursework

KU

Karnataka State Akkamahadevi Women University

Doctor of Philosophy, Computer Science

2021 -

Grade: 8

Pursued a Doctor of Philosophy in Computer Science, focusing on image forgery detection using advanced image processing techniques. Developed a web-based tool utilizing Python, Django, and JavaScript, employing SIFT, AKAZE, and ORB descriptors for adaptive over-segmentation to detect image forgeries.

KU

Karnataka State Akkamahadevi Women University

Master of Philosophy, Computer Science

2019 -

Grade: 7

Completed a Master of Philosophy in Computer Science, focusing on face morph detection using machine learning techniques. Developed a system in Python with Flask, utilizing HOG, LBP, and LPQ feature extraction along with SVM, KNN, and Random Forest classifiers.

GS

Govt. Degree College Sindhanur

Master of Science, Computer Science

2017 -

Grade: 7

Earned a Master of Science in Computer Science, focusing on deep learning applications. Developed a face morph detection system for Aadhaar card images using Python and pretrained models for feature extraction.

BS

BCA Degree College Sindhanur

Bachelor of Computer Applications, Computer Applications

2017 -

Grade: 83

Completed a Bachelor of Computer Applications, gaining foundational knowledge in programming and software development.

Tech stack

Software and tools used professionally

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