SABIN SASIDHARAN

• Enthusiastic and highly motivated Computer Science graduate with substantial knowledge and hands-on experience in programming languages such as Python, C, C++, Java, and HTML.
• Completed a final year project on " Sign Language Recognition Using AI " utilizing Python, demonstrating a keen interest in AI and Machine Learning.
• Experienced in cybersecurity through a comprehensive internship, where I gained practical knowledge in ethical hacking and cybersecurity techniques using the Kali Linux operating system.
• Possess strong analytical and critical thinking abilities, and recognized for flexibility, adaptability, hard work, and teamwork. Excellent problem-solving skills and consistently punctual. Passionate about continuous learning and staying current with industry trends. Eager to contribute to a dynamic team and grow as a Python developer in a challenging and innovative environment..

Address : Sasi nivas Perumaladikalam Eduppukulam po Menonpara Palakkad

Date Of Birth : June 28, 2000

Gender : Male

Civil Status : Unmarried

Linkedin : www.linkedin.com/in/sabin-sasidharan-565816196

PYTHON FOR DATA SCIENCE

• Provider: Cognitive Class powered by IBM Developer Skills Network
• Completion Date: [May-12-2024]

Overview:

Completed comprehensive training in Python programming for data science through Cognitive Class's " Python for Data Science " course, in collaboration with IBM Developer Skills Network. Developed proficiency in Python basics, data structures, and key libraries such as NumPy and pandas.

SIGN LANGUAGE RECOGNITON USING AI

Sign language recognition using AI in real-time is an innovative project aimed at bridging the communication gap between deaf individuals and those who do not understand sign language. This project utilizes advanced machine learning and computer vision techniques to interpret sign language gestures into written language in real-time.

Objectives:

The primary goal is to develop a system that can accurately and efficiently recognize and translate sign language gestures into text thereby facilitating seamless communication.

Frame work :

• Front end : Python (TKinter)
• Back end : Kaggle Dataset

I affirm that the information provided in this resume is accurate and complete to the best of my knowledge. I understand that any false statements or omissions may result in disqualification from consideration for employment. I authorize the verification of all information provided in this resume, including but not limited to educational background, employment history, and professional references. I am committed to upholding the values and standards of the organization and contributing positively to its mission and objectives.